Data Science & Analytics Jobs

In this role, you’ll work closely with model researchers, data infrastructure engineers, and cross-functional partners to make sure our data is high quality and can be produced at petabyte scale in a reliable, efficient way. From understanding how data choices show up in model behavior, to building processing pipelines and running the compute behind them, you’ll help ensure our models are trained on the best data we can get.

What you’ll do

• Work with model researchers to define what “good data” means for our models, including quality metrics, validation checks, and acceptance thresholds

• Explore open source datasets and create internal ones most suitable to build fundamental World Models

• Build algorithms for automated data quality assessment, data domain mixtures, and domain adaptation from synthetic to real data.

• Track datasets, metadata, provenance, and versions so experiments are reproducible and it’s clear what data went into which training and evaluation runs

• Own CI/CD and development tooling for the data stack (GitHub, Python, PyTorch), and automate repetitive workflows to reduce friction

• Track and optimize throughput, storage, and compute utilization across pipelines and related assets

What we’re looking for

• Strong ML and deep learning fundamentals with experience building and operating large-scale data and/or compute systems

• Comfortable moving between research questions and production engineering: you can dig into data, run analyses, and also ship reliable systems

• Demonstrated research experience with data compositions, quality, and dataset releases

• Ability to design and execute experiments with convincing unbiased outcomes

• Practical experience with distributed processing and orchestration (Spark, Ray, Airflow, or equivalents)

• Solid Python skills, and familiarity with the tooling around modern model training workflows (datasets, checkpoints, experiment tracking)

• Strong instincts around data quality: how to measure it, how to monitor it, and how to prevent regressions as things scale

• Able to work in a fast-moving environment, prioritize what matters, and communicate clearly with both researchers and engineers

• Bonus: experience with large video datasets, dataset curation for training, or building internal tooling for evaluation/analysis in ML environments

Reka's Mission

Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.

Why Reka?

• An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.

• Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.

• Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.

• Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.

• Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.

• Visa Support: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.

This is a senior role in our Data Platform Modernization pillar: consolidating and migrating customer data infrastructure on AWS in weeks, not quarters, at meaningfully lower engagement cost than traditional data consulting. Customers come to us after a data program has stalled pipelines nobody trusts, warehouses nobody runs new workloads on, a modernization that produced diagrams instead of production systems.

Aedeon handles automated source discovery, schema mapping, lineage extraction, and parallel-run validation. You own what agents can't: target architecture, data model decisions, pipeline design under real constraints, and the calls that make a cutover safe. You'll build with PySpark and SQL on EMR and Glue, model for Redshift, Snowflake, Athena, and Presto, orchestrate with Airflow and your work will reach production, not a slide deck.

What you will do?

• Build and maintain data pipelines on Amazon EMR or Amazon Glue that run in production.
• Design data models and end-user querying on Amazon Redshift or Snowflake, Amazon Athena, and Presto.
• Build and maintain pipeline orchestration with Airflow.
• Work with customer and internal teams to understand data needs and design the solutions that meet them.
• Troubleshoot and optimize pipelines and data models until they hold up under real load.
• Write and maintain PySpark and SQL scripts to extract, transform, and load data.
• Document and communicate technical decisions to technical and non-technical audiences — customers sign off on what we ship.
• Track new AWS data technologies and judge their impact on the systems we run.

What are we looking for?

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience working with PySpark and SQL.
• 2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue.
• 2+ years of experience with data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto.
• 1+ years of experience building and maintaining pipeline orchestration using Airflow.
• Strong problem-solving and troubleshooting skills.
• Excellent communication and collaboration skills.
• Ability to work independently and within a team environment.

You are preferred if you have

• AWS Data Analytics Specialty Certification
• Experience with Agile development methodology

How we work?

We run a forward-deployed model. Senior engineers embed with the customer's team, own outcomes from discovery through production, and carry the delivery commitment personally fixed dates, with Mactores absorbing overage cost for delays inside our control. Aedeon absorbs scale; you absorb judgment. That means less of your week goes to inventory spreadsheets and manual validation, and more goes to architecture, data modeling, and cutover strategy. The culture is casual and steers clear of rigid corporate habits. We measure ourselves by what ships.

Compensation

Additional Information

Life at Mactores

We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.

1. Be one step ahead

2. Deliver the best

3. Be bold

4. Pay attention to the detail

5. Enjoy the challenge

6. Be curious and take action

7. Take leadership

8. Own it

9. Deliver value

10. Be collaborative

We would like you to read more details about the work culture on https://mactores.com/careers

The Path to Joining the Mactores Team

At Mactores, our recruitment process is structured around three distinct stages:

Pre-Employment Assessment:

A series of evaluations of your technical proficiency and suitability for the role.

Managerial Interview: The hiring manager engages with you in multiple discussions, 30 minutes to an hour each, covering technical skills, hands-on experience, leadership potential, and communication.

HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.

Mactores provides equal opportunities in all employment practices. We don't discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This applies to every part of the employment relationship, recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs.

Note: Please answer as many questions as possible with this application to accelerate the hiring process.

Natera is seeking an Associate Director to lead a team of Bioinformatics Scientists in our Women's Health and Organ Health research organization. You will oversee the scientific planning and execution of research and assay-development of diagnostic projects, and you will be responsible for creating production-ready pipeline components. You will manage your team and its professional growth, the research strategy behind new product development, and the handoff of research work into production.

The role calls for deep experience in algorithm and assay development, NGS data processing across multiple modalities, and the full life cycle of diagnostic product research and development in a regulated (CLIA) setting. You will evaluate new technologies and NGS assays, implement methods to optimize performance, and help define the product profile from a bioinformatics perspective, with input from R&D, Product, and Laboratory Directors.

Primary Responsibilities:

Team Leadership and Development: Lead and mentor a team of Bioinformatics Scientists. Own their professional growth, their responsibilities, and the standard the team holds itself to.

Research Strategy: Own the research strategy behind new product development, from scoping through execution, working with cross-functional stakeholders on what the team takes on and in what order.

Assay Science: Lead bioinformatics analysis for assay development and optimization, and troubleshoot experiments alongside laboratory scientists. This spans multi-omic approaches including methylation and fragmentomics and other cell-free DNA (cfDNA) derived features. It also spans short-read and long-read sequencing and both hybrid-capture and amplicon target enrichment.

Study Design and Data Quality: Partner with laboratory teams on study design at the research and feasibility stage, covering new technology assessment, optimization, and performance determination. Make sure the resulting data holds up before anyone builds on it.

Analysis Method Improvement: Advise and prototype improvements to analysis pipelines, including variant detection, quality control, and modality-specific processing: methylation calling, fragment-size and end-motif analysis, error suppression for deep targeted panels, and structural-variant calling.

Production Readiness and Handoff: Move research prototypes into stable production workflows. Hold the team to software engineering practice, including version control, testing, continuous integration and delivery, and containerization. Automate the routine parts of research data management, pipeline execution, and reporting so the team's time goes to science.

Ways of Working: AI is a routine part of the work here. As the leader of this team you set what correct use looks like: what an agent may conclude on its own, and what requires a scientist to sign off. We do not screen for prior experience with these tools, and many strong candidates come from environments where they were restricted; we provide the tooling and the ramp time.

Cross-functional Partnership: Work with data science, molecular biology, pipeline engineering, biostatistics, quality assurance, and laboratory operations on new products and on the transition of research work into production. Act as the subject-matter expert those groups come to, and explain findings and the roadmap clearly at every level of the company.

What success looks like after a year:

• The team has a research roadmap you own, and progress against it is visible outside the team.
• You independently advise and guide research strategies in cross functional settings.
• New analysis methods from your team are implemented within production code and demonstrate expected performance on benchmark studies..
• You and team members become trusted experts that other functions direct their hard questions to, and can independently support decision making.
• AI agent-assisted work is normal on the team, with a standard for it that you set.

Qualifications:

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Mathematics, Engineering, Biostatistics, or a related field. (An M.S. with equivalent experience considered).
• 7+ years in bioinformatics, including 3+ years leading scientists and working across functions.
• Demonstrated ownership of a team that took scientific research into real clinical use, not only to a result.
• Demonstrated experience developing or scientifically guiding diagnostic sequencing assays.

Knowledge, Skills, and Abilities:

What we are screening for

• Deep expertise in next-generation sequencing analysis: hybrid-capture or amplicon-based target enrichment designs, sequencing quality control, secondary analysis, and variant calling.
• Experience with cell-free DNA sequencing and other omics data, especially in a diagnostics setting. Preferred to have some exposure to multiomics types : methylation, fragmentomics, or related cfDNA signals.
• Working knowledge of how a diagnostic product moves through development in a regulated, accredited setting, including the practices and standards that apply.
• Strong Python, programming, and data analysis skills.
• Fluency in exploratory data analysis and visualization on complex data sets, and the ability to translate findings into actionable recommendations.
• Understanding of sequencing workflows from sample extraction through the instrument, deep enough to tell a biology problem from an analysis problem.
• A demonstrated record of assessing a new platform, assay chemistry or method against established benchmarks..
• Clear communication of technical detail to people who do not share your background.
• The ability to run several objectives and timelines at once without close supervision.

Strong candidates may also have

• Long-read sequencing (PacBio HiFi, Oxford Nanopore) in addition to short-read (Illumina).
• R, shell scripting, or Java.
• Cloud computing (AWS, GCP) and workflow orchestration (Snakemake, WDL, Nextflow, Cromwell).
• Containerization (Docker, Kubernetes) for reproducible, production-grade analyses.
• A record of conference presentations or peer-reviewed publication.
• A desire to work in a fast-paced environment where a small team has high impact.

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

Remote USA

$166,600—$202,000 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: https://www.natera.com/notice-of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:
- BBB announcement on job scams
- FBI Cyber Crime resource page

About Life360

Life360's mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 102.4 million monthly active users (MAU), as of June 30, 2026, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above.

We are AI Native

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.

Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

About The Team

The Data & Analytics Team (DnA) is a 60+ person organization spanning data engineering, analytics engineering, analytics/decision science, and data science/ML. The science teams are organized into two sub teams, focusing on MAU and Revenue. This role leads decision science and data science within MAU.

You and your team will be responsible for understanding the drivers behind MAU: why members come, why they stay, and why they return. The team partners with product, marketing, and engineering to put those learnings into everyday work, and that work shapes our roadmaps.

Our data is unusual for a consumer company. Life360 measures families and circles rather than individuals, so one member's behavior affects another's, which makes measurement a different problem than a standard funnel. With billions of location events, driving behavior, crash detection, and Tile and Pet GPS trackers, we get a rich picture of physical behavior that few consumer companies can build.

About the Job

This Senior Director leads MAU Analytics and Data Science.

You and your team will work across acquisition, activation, engagement, and retention on the analysis, models, and experiments behind each. A lot of what this role owns needs to be built rather than maintained: the measurement, the standards, and how the team uses AI. The team is also raising its craft, and coaching people through that is an important part of the job. Within a year, your team members will be operating at an elevated skill level, proactively bringing key questions to light, and serving as trusted advisors whom stakeholders consult for strategic guidance rather than simple task execution.

You will report to the Head of Data and work closely with counterparts leading Revenue Analytics and Data Science, and with the leaders of Data Engineering.

For candidates based in the US, the salary range for this position is $247,000 to $366,000 USD. For candidates based out of Canada, the salary range for this position is $286,000 to $339,000 CAD. We take into consideration an individual's background, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers.

Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs), as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits.

What You'll Do

• Lead and develop the decision scientists and data scientists on the team, and set the quality bar for both disciplines.
• Own the MAU driver model and the forecast.
• Own the exploratory work that drives the strategy to grow MAU.
• Establish how an analysis gets scoped, run, reviewed, and written up, so its quality does not depend on who picked up the request.
• Partner with your Revenue counterpart and Data Engineering leadership to define common metrics, align on experimentation standards, and introduce unified operating practices across teams.
• Build the operating model that gets the team into the roadmap conversation early, with a view on what to build and what to test.
• Use agents and automated analysis daily, and expect the same of the team.
• Shape how the team works AI-native: what gets delegated to agents, what gets automated, and what stays human judgment.

What We're Looking For

Required Experience & Qualifications

• 10+ years in analytics, data science, or decision science, including 5+ years in people management in a senior leadership role.
• Deep expertise in inferential and causal analytics. Able to lead ML practitioners.
• Expert knowledge of engagement, retention, churn, and cohort metrics.
• Experience forecasting a company-level metric and being held to it.
• SQL, plus Python or R.
• Experience with Databricks, third party experimentation tools (e.g. Statsig), Tableau or similar BI tools, and AI native BI tools (e.g. Hex, AI/BI).
• Hands-on with coding agents (Claude Code or equivalent) in your own analytical work.
• Bachelor's degree or equivalent.

Nice to Have

• Familiarity with experiment design to identify and control for network effects.
• Master’s degree or PhD with an emphasis in social science, psychology or other behavioral science.
• Experience leading a team that reports to you but sits embedded with product and engineering teams.
• Experience in a B2C subscription business.

Core Expectations

• You have moved an analytics team from reactive to embedded.
• You coach and develop people, and you have grown analysts into leaders.
• On your teams, analysis starts from a hypothesis rather than a data request.
• You have built the standards a team works from, and got people to use them.
• You are curious about why people behave the way they do, not just what they did.
• You decide what the team does not work on, and you can defend it.

Our Benefits

• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer life and disability as well as supplemental plans for medical and dental for Canadian employees.
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Paid parental leave
• Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being
• Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns
• Learning & Development programs
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership and Tile trackers.

Life360 Values

Our company's mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference

• Be a Good Person - We have a team of high integrity people you can trust.
• Be Direct With Respect - We communicate directly, even when it's hard.
• Members Before Metrics - We focus on building an exceptional experience for families.
• High Intensity, High Impact - We do whatever it takes to get the job done.

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don't meet 100% of the below qualifications, you should still seriously consider applying!

#LI-Remote

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

We are looking for a talented and driven individual to be a key part of our Analytics Engineering team within the Data Science organization. We are looking for someone who can work closely with Data Scientists and Engineers across diverse areas of the organization (Consumer, Ads, and Marketing) to curate, develop, and deploy the right data and analytic tooling to drive Reddit’s product forward and provide a data and tooling foundation that will last decades. Your work will empower thousands of your colleagues to improve the user experience and grow our consumer base.

Successful candidates have a strong track record of understanding and deeply caring about the purpose of data to support business goals, and can act as an effective conduit between Data Producers and Data Consumers. This role sits at the intersection of Data Science and Data Engineering, and the ideal candidate has skills, experience, and passion in both areas.

Responsibilities:

• Be a key contributor and collaborator to the success of data quality, performance, reliability, and automation initiatives.
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines.
• Develop and implement data quality checks, conduct QA and implement monitoring routines
• Create and manage new data integrations across internal and external systems
• Create tools and applications for internal use that streamline data analysis and reporting. Drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability.
• Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit.

Qualifications:

• Bachelor's degree in computer science or a quant educational field
• 3+ years of experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable code and systems (Python preferred) in a production environment.
• Strong programming proficiency in Python, SQL, Spark, Scala, etc.
• Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data.
• Experience with data workflows (such as Airflow), data modeling, front-end or back-end engineering.
• Experience in data analysis and dashboard design.
• Deep understanding of technical and functional designs for relational and MPP Databases.
• Proven track record of cross-functional execution and collaboration.
• Agentic AI-assisted development experience.
• Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company, of differing levels of technical acumen.
• Self-starter, ability to work independently and autonomously, as well as part of a team.

Check out our r/RedditEng post to learn more about the team, and what we do: https://www.reddit.com/r/RedditEng/comments/1mnmf71/analytics_engineering_reddit/

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is:

$164,200—$229,990 USD

In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Company Summary

Arlo Solutions (Arlo) is an information technology consulting services company that specializes in delivering technology solutions. Our reputation reflects the high quality of the talented Arlo Solutions team and the consultants working in partnership with our customers. Our mission is to understand and meet the needs of both our customers and consultants by delivering quality, value-added solutions. Our solutions are designed and managed to not only reduce costs, but to improve business processes, accelerate response time, improve services to end-users, and give our customers a competitive edge, now and into the future.

Position Description:

Arlo Solutions is supporting the Department of Veterans Affairs (VA) Veterans Health Administration (VHA) Office of Integrity and Compliance (OIC) in standing up and running the VHA Fraud Rapid Response Center ("VA War Room"). The War Room protects Veterans and taxpayer dollars through data analytics, fraud risk assessment and fast administrative action, in line with Executive Orders 14395 and 14243. The Data Analyst (Healthcare Fraud) is Essential Personnel on the fraud, waste and abuse (FWA) analytics team. Working under the Analytics and Technology Program Director and the Senior Data Analyst, this person uses VA's Palantir analytics and workflow platform to analyze VHA claims, enrollment and exclusion data. The analyst builds and tests business rules that detect potential fraud and overpayments, and surfaces anomalies and prioritized leads for OIC review. This includes supporting the Provider 360 view of community care providers, anomaly detection and network analysis to find coordinated billing schemes. The role is advisory and analytical. All final decisions stay with Government personnel.

Location: Remote with On-Site Requirements

Clearance: Public Trust

Responsibilities and/or Success Factors:

• FWA Rule & Algorithm Development:
  • Write, test and document business rules and algorithm logic mapped to FWA schemes.
  • Support provider risk-scoring and case-prioritization criteria.
• Platform Development:
  • Support configuration, code development and deployment on VA's Palantir platform, including data pipelines and system integration.
• Provider 360 & Anomaly Detection:
  • Help combine claims, enrollment and exclusion data into a single Provider 360 view.
  • Support anomaly detection and network analysis.
• Weekly Analytic Runs:
  • Run the weekly analytics that feed War Room decision packages and the recurring prioritized lead lists.
• Data Extraction & Analysis:
  • Extract, clean and analyze federal healthcare data for FWA identification.
  • Support claim review workpapers.
• Quality Assurance & Back-Testing:
  • Back-test rules, track rule precision and support QA and corrective action plans.
  • The QASP targets at least 65% positive predictive value in month one and 70% by Day 60.
• Benchmarking:
  • Support federal benchmarking and alignment of VHA data analysis with CMS data and methods.
• Dashboards & Reporting:
  • Build dashboards, visualizations and data for quarterly fraud trend and improper payment reduction reports, risk governance reporting and leadership briefings.
• Documentation & Knowledge Transfer:
  • Document rule specifications, acceptance criteria and analytic methods. Train VA staff to run War Room analytics on their own.

Minimum Qualifications Including Certificates:

• Must be legally eligible to work in the United States
• Able to pass a Tier 2 / Moderate Background Investigation (MBI) and get a VA PIV card
• Bachelor's degree in information technology, Computer Science or a related field (such as data science, statistics or health informatics)
• 2-5 years of federal healthcare data analytics experience, such as with Medicare, Medicaid or VHA data Experience writing healthcare data analytics business rules
• Strong coding skills in SQL and Python (or PySpark/R)
• Proficiency with analytics platforms, including data pipelines, transformations and dashboards
• Working knowledge of healthcare claims data, such as claim types, CPT/HCPCS and ICD-10 codes, NPIs and provider and beneficiary data
• Able to handle PHI and sensitive information under HIPAA and VA privacy requirements, and to complete the required VA TMS trainings

Desired Qualifications:

• Hands-on experience with Palantir Foundry or Gotham Healthcare FWA or payment integrity analytics experience, such as detecting upcoding, unbundling, duplicate billing, impossible days or excluded providers
• Experience with VA Community Care data, the CMS Integrated Data Repository (IDR), or the OIG LEIE and SAM exclusion lists Anomaly detection, machine learning or network/link analysis experience
• Rule back-testing and precision measurement experience (PPV, false-positive analysis)
• Experience with Power BI, Tableau or similar visualization tools
• Certified Fraud Examiner (CFE) or a data or analytics certification

AAP Statement

We are proud to be an Affirmative Action and Equal Opportunity Employer and as such, we evaluate qualified candidates in full consideration without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, national origin, age, disability status, protected veteran status, and any other protected status.

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

SeatGeek is a technology innovator on a mission to disrupt the $300 billion ticketing industry. We have the product, vision, and team to make life better for performers, venues, and fans, and build a generational consumer brand in the process. All we’re missing is you.

You will join a group that bridges the gap between research and production-ready ML systems. Your work will directly impact how millions of fans discover and purchase tickets, how we optimize pricing and inventory, how we personalize the SeatGeek experience, and how we prevent fraud across our marketplace. You will design and build ML infrastructure and services that operate at scale, turning complex algorithms into reliable, fast, and maintainable systems that drive business value.

What you'll do

• Design, build, and deploy machine learning models and systems that operate reliably at scale in production
• Build and maintain ML infrastructure including feature stores, model serving platforms, and real-time inference pipelines
• Embed on a product engineering team and collaborate closely with data scientists, PMs ,and Software Engineers to translate research and experimental models into production-ready systems
• Solve complex technical challenges unique to the ticketing industry, including real-time pricing optimization, demand forecasting, and fraud detection
• Develop automated ML pipelines for training, validation, deployment, and monitoring using MLOps best practices
• Work across team and discipline boundaries to evangelize ML capabilities and build them into SeatGeek's core product offerings

What you have

• Experience building and deploying machine learning systems in production environments. We'll be interested in hearing about the systems you've built, the scale you've operated at, and the business impact you've driven
• 4+ years of experience in software engineering with at least 2+ years focused on machine learning systems and MLOps
• Strong programming skills in Python and experience with ML frameworks like scikit-learn, TensorFlow, PyTorch, or similar
• Experience with cloud platforms and containerization technologies
• Understanding of both batch and real-time ML systems, including experience with model serving, A/B testing, and performance monitoring
• Passion for software craftsmanship and product. You have well-considered opinions about how systems should be built, and hold yourself and your code to a high standard
• A product mindset. You think beyond the model accuracy, about user experience, business impact, system reliability, and what makes a great product tick
• Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others

Our stack

You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem solving. Tools can be learned.

• Languages + Frameworks: Python + FastAPI, Go, C# + .NET Core
• Datastores: Postgres, MemcachedRedis, Elasticsearch
• Cloud: AWS (SageMaker, Redshift, ECS), Airflow for orchestration
• Version control: Gitlab
• AI Tooling: Cursor, Github Copliot, Claude Code
• Observability: Datadog

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Up to 16 weeks of fully-paid family leave
• 401(k) matching
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $360 per quarter to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

---

The salary range for this role is $145,000 - $209,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

#LI-Remote

Who are we and why should you join us?

BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution.

As the Manager of Business Analysis & Insights at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way.

What are we looking for?

We are seeking an experienced Manager, Business Analysis & Insights to serve as a strategic thought partner to the CFO and executive leadership team across BetterHelp. This role is best suited for someone who enjoys solving ambiguous problems, proactively identifying opportunities, and operating with a high degree of ownership in a fast-paced environment.

We’re looking for someone with a strong passion for turning data into compelling narratives and a demonstrated ability to influence outcomes through cross-functional collaboration. Success in this role requires balancing analytical depth with speed. The ideal candidate knows when to dive deep and when to synthesize quickly, delivering insights that help leaders make better decisions without unnecessary complexity.

What will you do?

• Executive Communication & Storytelling: Distill complex analyses into concise, executive-ready narratives, adapting communication to audiences ranging from individual contributors to the CFO, President, and executive leadership
• Strategic Analytics & Decision Support: Lead high-impact analyses that go beyond reporting metrics to identify root causes, quantify business opportunities, and develop actionable recommendations for executive leadership
• AI-Enabled Analytics: Leverage AI as a core part of the analytical workflow by leveraging modern AI tools to accelerate analysis, improve productivity, automate repetitive tasks, and increase the speed and quality of insights. Continuously evaluate new AI capabilities and champion thoughtful adoption across the team
• Business Strategy: Partner with business decision makers to shape and operationalize the company’s strategic roadmap, quantifying and accelerating impact on growth, efficiency, and profitability
• Analytics Infrastructure: Design scalable analytical frameworks, reusable datasets, automated pipelines, and self-service reporting that improve the organization’s ability to make decisions over time
• Influence Without Authority: Build trusted relationships across Finance, Product, Marketing, Data Science, and Engineering to drive alignment, unblock work, and move initiatives from analysis to execution
• Execution & Prioritization: Independently manage multiple concurrent initiatives, proactively prioritize work, navigate ambiguity, and balance short-term business needs with longer-term strategic opportunities

What will you NOT do?

• You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success.
• You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do.
• You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here!
• You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really.

Can I work remotely?

Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel.

Requirements

• Experience: 8+ years in strategy, analytics, business intelligence, or insights roles, preferably within D2C or fast-paced, high-growth tech environments or in consulting
• Education: Bachelor’s degree in Business, Economics, Engineering, Computer Science, or a related field. Master’s degree a plus
• Technical skills: Expert SQL skills are required. Experience with Python (preferred) or R. Strong BI experience (Looker, Tableau, etc.). Demonstrated ability to leverage AI tools such as ChatGPT, Claude, Cursor, GitHub Copilot, or similar tools to accelerate analytical workflows and software development is strongly preferred. Experience working with Git, version-controlled analytics workflows and modern analytics engineering practices is preferred
• Big Data Fluency: Comfortable working with large, complex datasets and leveraging big data technologies or platforms to derive insights at scale
• Business Acumen: Demonstrated ability to connect data to business outcomes, make sound judgment calls with imperfect information, and recommend clear actions - not just analyses
• Communication: Exceptional written and verbal communication skills with demonstrated experience presenting to senior leaders. Ability to summarize complex analyses into clear executive headlines while maintaining analytical rigor and supporting detail
• Bias for Action: Thrives in a fast-paced, evolving environment. Strong prioritization skills and a pragmatic approach to problem-solving and execution

Successful candidates will demonstrate:

• Executive presence and confidence communicating with senior leaders
• Intellectual curiosity and a strong growth mindset
• Comfort operating in ambiguity and changing priorities
• Strong ownership and bias toward action
• Ability to independently identify problems - not just answer assigned questions
• Balance between analytical depth and practical business decision-making
• High emotional intelligence and collaborative partnership across functions
• Demonstrated ability to turn ambiguous business questions into clear analytical approaches and executive recommendations

Benefits

• Remote work with regular in-person bonding experiences sponsored by the company
• Competitive compensation
• Holistic perks program (including free therapy, employee wellness, and more)
• Excellent health, dental, and vision coverage
• 401k benefits with employer matching contribution
• The chance to build something that changes lives – and that people love
• Any piece of hardware or software that will make you happy and productive
• An awesome community of co-workers

The base salary range for this position is $150,000 - $200,000. In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2026. Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions.

At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.

Notice to Candidates:
BetterHelp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (betterhelp.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official BetterHelp recruitment emails will come from the domain @betterhelp.com. Our commitment is to ensure a safe and transparent hiring experience for all candidates. We will never ask you for money, gift cards, or any form of payment during our hiring process, and we will never send money or checks to candidates. If you experience this, it is a scam.

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 102.4 million monthly active users (MAU), as of June 30, 2026, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above.

We are AI Native

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.

Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

About The Team

The Revenue Experimentation team (Direct Revenue org) is the engine behind how we grow and monetize Life360 responsibly. We design, ship, and analyze high-velocity experiments across ads, subscriptions, and one-time purchases — pricing, paywalls, ad placement and mediation, upsell and upgrade flows — so every monetization decision is grounded in evidence, not instinct. Our work directly shapes the revenue behind nearly 100 million members. We are a product-minded, AI-Native engineering team. AI isn't just a tool we use — it's how we work. We treat it as a first-class collaborator at every stage: ideation, coding, testing, review, and iteration. We ship faster and go deeper because of it, and we're looking for someone who wants to help define what that looks like at scale.

About the Job

As a Lead Data Scientist, you will own the path from revenue opportunity to production ML for Direct Revenue, the business unit responsible for growing active users, subscriptions, revenue-generating transactions, and in-app advertising across Life360's more than 100 million monthly active users. You will find the opportunities, size them, agree on priorities with business leads, and ship the models alongside the team's data scientists and engineers.

This role matters now because the team is expanding to cover consumer-facing ads, including recommendations and personalization, and needs a senior scientist who pairs a deep understanding of the problem with the ability to put models into production. In your first year, you will help the team scale the amount of production ML it delivers and help set the team's roadmap with the data science lead and the product manager.

For candidates based in the US, the salary range for this position is $175,000 to $218,000 USD. For candidates based out of Canada, the salary range for this position is $171,500 to $202,500 CAD. We take into consideration an individual's background, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers.

Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs), as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits.

What You’ll Do

• Conduct deep investigations into revenue-generating options and the data behind them, and use them to size, scope, and measure product changes in Databricks.
• Design, build, deploy, and operate production ML systems, from batch inference to online services to online learning models, using the team's feature store and model registry, for personalization, experimentation, and automation use cases.
• Partner with Product, Mobile Engineering, Cloud Engineering, Data Engineering, and MLOps to integrate these systems into user-facing features.
• Set up monitoring for new ML-based features so their performance and business impact are measured.
• Implement lineage tracking for data, code, and model artifacts to keep the ML lifecycle compliant, reproducible, and secure.
• Improve the data ecosystem with Data Engineering, including the pipelines that feed experimentation and ML.
• Mentor other data scientists and define best practices for advanced analytics and ML system development.
• Use Claude Code and other AI tools across data discovery, modeling, and experiment evaluation.

What We’re Looking For

Expected Experience & Qualifications

• Education: advanced degree in a field that relies on sophisticated statistical analysis or equivalent industry experience.
• Professional Experience: 6+ years of experience scoping, building, and analyzing ML-powered systems, including models you have shipped to production.
• Programming Proficiency: Significant experience with Python and scikit-learn, PySpark, and causal inference programming languages, including familiarity with software engineering best practices (testing, modularization, version control, etc.).
• Causal Inference: Technical training and professional experience applying modern causal inference and causal analysis techniques.
• Instrumentation and Measurement: Significant experience working with found data, guiding instrumentation to generate new data, and implementing data transformations to support complex analyses and ML system development.
• Experimentation: Hands-on experience setting up experiments in the consumer technology space, including experiment design, monitoring, and analysis of results.
• Consumer Product Experience: Experience building ML or running experiments at a consumer (B2C) technology company, ideally on revenue work such as subscriptions, transactions, or ads.
• Communication and Leadership: Strong communication and project leadership skills, with the ability to influence cross-functional teams.
• Problem Solving: Strong capability to solve ambiguous problems in a structured, hypothesis-driven, data-supported way.
• Generative AI & LLMs: Prior experience leveraging LLMs in advanced data processing and analysis workflows.

Preferred Qualifications

• Digital Advertising: Experience with modern digital advertising, including ad tech infrastructure.
• Feeds and Ranking: Experience with ranking and grouping algorithms for content feeds.
• Advanced Tooling: Experience contributing to and managing production feature stores and ML model registries.
• Revenue Partnership: Experience working with product line GMs, including familiarity with revenue reporting and forecasting analyses.
• Subscription Products: Experience in subscription-based products, lifecycle marketing, or user acquisition.
• Geospatial: Experience with geospatial data and mobile location-based services.

AI-Native Expectations

• Daily use: Running parallel workstreams instead of hand-holding one agent at a time.
• Judgment and ownership: Review AI-generated code, analyses, and models as critically as a colleague's pull request. You are accountable for everything you ship, whoever or whatever wrote it.
• Velocity: Turn AI fluency into output. We expect you to deliver more production ML, faster, than the same work would take without AI.
• Team leadership: Share your AI workflows with the team and raise the AI fluency of the data scientists and engineers around you.
• Continuous learning: Keep up with new AI tools and techniques, test them on real team problems, and bring recommendations to the team.

Our Benefits

• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer life and disability as well as supplemental plans for medical and dental for Canadian employees.
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Paid parental leave.
• Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being.
• Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership and Tile trackers.

Life360 Values

Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference

• Be a Good Person - We have a team of high integrity people you can trust.
• Be Direct With Respect - We communicate directly, even when it’s hard.
• Members Before Metrics - We focus on building an exceptional experience for families.
• High Intensity, High Impact - We do whatever it takes to get the job done.

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!

#LI-Remote

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP.

Responsibilities:

• Designing data workflows, pipelines, and pathways to support ETL/ELT, while ensuring data-quality and exchange of sensitive information across AWS cloud and on-prem environments.
• Implementing systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies
• Architecting, deploying, and operating data streaming technologies (Kafka, Redpanda, Kinesis, etc ) on Kubernetes with an emphasis on declarative definitions to reduce complexity in day-2 operations
• Working with a platform team to implement best practices for configuration management, security, and performance optimization within Kubernetes and AWS environments
• Working with a platform team to automate infrastructure provisioning, monitoring, and scaling using tools such as Terraform working with cybersecurity SMEs to incorporate best practices and techniques to defend our data layer against potential threats
• Ensuring that our data layer systems are compliant with industry and DoD regulations, standards, and best-practices
• Staying up-to-date with industry trends and emerging technologies related to Kubernetes, containerization, and data engineering

Travel Expectations/Requirements: 6-10 times per year

The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise.

*Preferred Experience and Qualifications:

• Demonstrated experience (minimum 5 years) in building and maintaining production data pipelines, databases, and data exchange services on Kubernetes Experience in designing, deploying, and operating Kafka / Redpanda data streaming solutions on Kubernetes
• Experience in creating data pipelines from scratch with the ability to process data in large volumes and manage data stores
• Experience with containerization technologies such as Docker and container orchestration systems like Kubernetes
• Knowledge of systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems Familiarity with API Security, Container Security, AWS Cloud Security Familiarity with cybersecurity principles and best practices for securing data layer systems
• Excellent problem-solving skills, with the ability to work independently and as part of a team
• Excellent communication skills, with the ability to convey complex ideas to both technical and non-technical team members
• The selected candidate will be subject to a pre-employment background check ("CBI") and must be able to obtain and maintain a Secret-level DoD security clearance
• Experience with machine learning and generative AI models

Full compensation packages are based on candidate experience. Compensation ranges are established using national benchmarking data and apply across all geographic locations within the United States.

Remote - USA

$148,750—$201,250 USD

Who We Are

Defense Unicorns delivers mission value by streamlining software delivery so our customers can focus on the most important challenges. We share a vision of freedom and security for the advancement of progress and innovation. Our commitment to this vision, and to our mission-driven customers, means a commitment to speed, user experience and optionality, without compromising security. Our team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market.

What We Do

We create and deliver secure solutions for continuous software integration and delivery. Defense Unicorns consolidates the best practices for security pipelines, testing, and deployment automation in order to meet the high security requirements valued by mission owners. Our solutions are agnostic by design and we believe that growing a robust ecosystem of secure, cloud-native software solutions can help enterprise customers inside and outside the federal market buy and integrate software more easily.

Who We Serve

Defense Unicorns’ customers are mission-focused leaders across public and private enterprises. We proudly support defense and civil agencies across the U.S. government and we work closely with the creators of leading-edge software solutions to deliver value to the mission-owner by improving the security and consumability of commercial software products.

What We Work On

• Kubernetes
• Cloud Environments (AWS/GCP and Azure)
• Infrastructure-as-code (like Terraform/Pulumi)
• Continuous Delivery and automation tooling
• GitOps
• Containers
• CNCF projects and open source products and packages
• Helm/Kustomize-Value Stream Mapping
• Building and improving security delivery
• Building Kubernetes and cloud native applications

Benefits Our Unicorns Enjoy

Health:

• Medical/Dental/Vision
• Premiums are 100% Company Paid
• Health Savings Account
• Life Insurance
• Disability Insurance

Financial:

• 401k Retirement Plan
• Company Stock Options
• Home Office Budget

Leave:

• We offer all full-time Unicorns Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year’s
• Paid Parental Leave

Learning:

• Reimbursement for approved trainings/subscriptions
• Conferences (travel, lodging, and fees)

Don’t have all the preferred experience or qualifications? Studies show that underrepresented groups like women and people of color are less likely to apply to jobs if they don't meet every requirement listed.

At Defense Unicorns, we're committed to diversity. If you're enthusiastic about the role but don't match every criteria, we encourage you to apply. You could be the perfect fit for this or another role! Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

CCPA DISCLOSURE

**This is a contract role expected to last until April 15th, 2027

Location: This role is Remote in the U.S., with the option to work onsite from our San Francisco, CA headquarters.

Visa sponsorship is not available for this role.

About Doximity

Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity’s AI-powered workflow platform is trusted by over 85% of U.S. physicians and 300+ health systems. Doximity's mission is to help clinicians be more productive so they can provide better care for their patients.

At Doximity, we value curiosity, ownership, inclusion, and a commitment to making a meaningful impact. If you're excited about solving complex problems that improve healthcare, we'd love to hear from you.

About the Role

As a Business Intelligence Analyst, you will:

• Work closely with our Product, Strategic Analytics, Client Success, and Sales teams to create client-facing analyses.
• Showcase your engineering skills by creating data products from scratch and automating code so they can be re-used by other teammates.
• Continue to improve your technical and non-technical skill sets.
• Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.
• Grow into a presentation/communication-focused role or dive deeper into more-involved technical challenges—the choice is yours.

What We're Looking For

We're excited to meet candidates who have many of the following qualifications:

Must have:

• Three (3) years of experience illustrating collaboration, passion for data, reliability, precision, curiosity, and respect for teammates and clients.
• Excellent SQL skills with proven ability to create and evaluate complex SQL statements involving numerous tables and complex relationships.
• Fluent in Python and experience using common modules (numpy, pandas, statsmodels, matplotlib) for EDA.
• Experience collaborating with non-technical stakeholders.

Nice to have:

• Working knowledge of statistics and visualization.
• Experience working with data visualization tools.
• Advanced Excel skills.
• Experience using AI coding assistants and building AI-leveraged workflows.
• Experience working in the healthcare industry.
• Experience presenting data to a non-technical audience.

The Core Values of the Client Intelligence team

As an organization we value diversity - in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build a better future for all. Below are additional core values specific to the Insights Team.

• Collaboration—The best candidates and teammates are not only strong in their own aptitudes but care deeply about supporting each other's growth.
• Passion for Data—You’re going to help our clients and team members with data-driven decision making. We need someone that can manipulate millions of rows of data and also ask the right questions to find the important insights.
• Reliability – Our team is efficient, flexible, and agile only because we trust the reliability of each member. We need self-starters and goal-oriented individuals for our continued success.
• Precision – Our team's deliverables power client analysis and inform real-world decisions. A successful candidate will triple check their work and their teammates' work, holding all of us to the highest data quality standards.
• Curiosity – Continuous learning is a cornerstone at Doximity, and curious individuals thrive in our environment. We’re looking for someone who is curious enough about data to go above-and-beyond the task for the true insight.
• Respect – A key dynamic that allows our team to flourish is respect: for ourselves and our quality of work, for our teammates, and for our internal clients who are under the pressure of deadlines and finance goals.

Why You'll Love Working Here

At Doximity, you'll join a mission-driven company where your work has a meaningful impact on healthcare. We believe great ideas come from empowered teams, and we're committed to creating an environment where people can do their best work.

• Make a real impact. Help build products that support over a million healthcare professionals and ultimately improve patient care.
• Work with exceptional teammates. Collaborate with thoughtful, talented colleagues who value curiosity, humility, and continuous learning.
• Enjoy flexibility and trust. We support flexible ways of working and empower employees with the autonomy to own their work.
• Grow your career. Take on meaningful challenges, develop new skills, and shape your career through mentorship and professional development.
• Bring your authentic self. We're committed to fostering an inclusive culture where diverse perspectives are welcomed, respected, and celebrated.

Our Hiring Process & AI Tools

Doximity may use artificial intelligence (AI)-enabled tools throughout the hiring process to help improve the candidate experience and support our recruiting team. These tools may assist with administrative tasks such as scheduling, general communication, interview coordination, note-taking, or summarizing interview feedback. Human recruiters and hiring managers make all hiring decisions. We are committed to using AI responsibly, transparently, and in accordance with applicable laws.

Equal Employment Opportunity

Doximity is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive workplace where everyone can thrive. We consider all qualified applicants without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable federal, state, or local law.

If you require a reasonable accommodation during the application or interview process, please let us know so we can support your participation.