Data Science & Analytics Jobs

At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit h1.com to learn more about us.

As part of H1’s hiring process, all candidates are required to participate in an in-person final interview. Depending on your location, this may require travel.

The Strategic Insights team is made up of subject matter experts who drive client insight generation. We provide differentiated value to our customers by ensuring they get the most value from H1 whether that is from our platform, our underlying data or our people.

WHAT YOU'LL DO AT H1
As the Sr. Strategic Insights Manager, you will use your expertise to deliver data-driven solutions that address key business challenges for our life sciences clients. You will collaborate with both clients and internal teams to ensure that insights from H1’s platform and data sources drive informed decision-making and maximize value realization.

You will:
- Be a key member of the Account Team(s) engaging with customers as a Subject Matter Expert in our data and their business
- Use data to solve complex business challenges, particularly around scientific expert engagement and strategic collaboration
- Lead strategic discovery processes to identify client needs and develop custom data-driven solutions.
- Optimize the user platform experience by delivering bespoke analyses, data visualizations, and insights, offering proactive project ideas that support value creation and client expansion.
- Partner with clients to understand their business challenges and translate them into actionable insights, providing best-in-class solutions and ideas tailored to their needs and goals.
- Collaborate with H1 leadership and internal teams to ensure seamless project execution, delivering results that meet client objectives.

ABOUT YOU
You are a strategic, data-driven professional with a deep understanding of the life sciences industry, including drug development, therapeutic interventions, and key stakeholders.
- You have strong expertise in data extraction, manipulation, and analysis, and you can leverage data to uncover actionable insights that drive client success.
- You excel in project management, ensuring high-quality deliverables from planning through execution.
- Your ability to create clear and impactful data visualizations, combined with strong presentation skills, allows you to effectively communicate insights to both technical and non-technical audiences.
- You are a skilled communicator, proficient in active listening and influencing others to achieve mutually beneficial outcomes.
- You thrive in collaborative environments, navigating cross-functional teams and leading efforts to deliver impactful results.

REQUIREMENTS

- 4+ years of experience in the life sciences industry, preferably in roles related to data analytics, insights generation, or strategic consulting.
- Proven experience working with clients to deliver data-driven solutions that solve business challenges.
- Experience working on a cross functional team, with the ability to speak to engineers and data scientists
- Strong presentation and communication skills, with the ability to convey complex information in an understandable way.
- Ability to lead cross-functional teams, manage projects, and meet deadlines in a fast-paced environment.
- Familiarity with the clinical trial landscape and expert engagement strategies is a plus.

COMPENSATION

This role pays $130,000 to $160,000 per year, based on experience, in addition to equity in the form of Restricted Stock Units.

Anticipated role close date: 12/21/2026

Compensation

Additional Information

H1 OFFERS

- Full suite of health insurance options, in addition to generous paid time off

- Pre-planned company-wide wellness holidays

- Retirement options

- Health & charitable donation stipends

- Impactful Business Resource Groups

- The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe

H1 is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability, sex (including pregnancy), age, gender, gender identity, sexual orientation, marital status, veteran status, or any other characteristic protected by law.

H1 is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you require an accommodation, please reach out to your recruiter once you've begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well.

For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you.

Angi at a glance:

• Founded in 1995 as Angie’s List and rebranded in 2021

• Global company with 9 brands in 8 countries and employees worldwide

• Homeowners have turned to us for 300 million home projects and counting

Job Summary:

We are seeking a highly analytical and detail-oriented Senior Analyst to join our team. In this role, you will support the analytics roadmap by leveraging advanced data analysis, modeling, and visualization techniques to generate strategic insights for our Customer Care team. This role will focus on optimizing our care function, with projects aimed at providing data-driven recommendations to ensure we are providing high-quality customer care to both homeowners and pros, optimizing for revenue and customer experience. You will work closely with product, strategy, and operations teams to analyze the care team performance, focusing on metrics such as save rate, customer churn, and cash collection.. As a Senior Analyst, you will focus on providing data-backed recommendations that answer not just "what happened?", but "what will happen?" and "what should we do?" to enhance the customer experience and grow the bottom line.

Key Responsibilities:

• Engage with cross-functional stakeholders to build relationships, understand their analytical needs, and align on project scope and timing.

• Analyze changes in network trends to identify growth opportunities.

• Leverage advanced modeling skills to generate predictive and prescriptive insights, while supporting self-serve solutions where feasible.

• Communicate complex findings to non-technical stakeholders through clear, compelling narratives and visualizations.

• Create and maintain dashboards to monitor key metrics, exploring solutions for near real-time analytics to enable agile responses to changing market conditions.

• Follow best practices for data validation and quality assurance

• Seek out and pursue opportunities to leverage AI to spark creativity, process information, and streamline analytical workstreams.

• Work with data and product teams to maintain accurate, scalable data solutions and enhance shared data resources.

• Proactively document and share insights with peers, and embrace opportunities to mentor junior team members.

Required Qualifications:

• Bachelor's degree in Data Science, Economics, Statistics, Business, or a related field.

• 5+ years of analytical experience in an e-commerce, marketplace, or related field.

• Strong proficiency in SQL and data analysis tools such as Python or R.

• Expertise in data visualization tools such as Looker, Tableau, or Power BI.

• Demonstrated ability to apply predictive modeling techniques to solve business problems.

• Excellent communication skills with the ability to translate complex data into actionable business recommendations.

• Strong project management skills and the ability to manage multiple priorities in a fast-paced environment.

• Ability to leverage AI to streamline analytical workstreams.

Compensation & Benefits:

• The base salary band for this position ranges from $100,000 - $150,000, commensurate with experience and performance. Compensation may vary based on factors such as geographic location.

• This position will be eligible for a competitive year end performance bonus & equity package.

• Full medical, dental, vision package to fit your needs.

• Flexible vacation policy; work hard and take time when you need it.

• Pet discount plans & retirement plan with company match (401K).

• The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world.

We value diversity:

We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.

Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

#LI-Remote

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well.

For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you.

Angi at a glance:

• Founded in 1995 as Angie’s List and rebranded in 2021

• Global company with 9 brands in 8 countries and employees worldwide

• Homeowners have turned to us for 300 million home projects and counting

About the Role

We are seeking an experienced and data-driven Senior Analyst to join our team as a senior individual contributor. This role will focus on tracking and optimizing the performance of our pro sales team by leveraging advanced analytics to drive strategic business decisions and develop, monitor, and adjust compensation and commission plans. You will work closely with sales executives, sales operations teams, and product managers to determine optimal staffing levels, report on and analyze the performance of our sales reps, and identify actions to optimize productivity and profitability. As a key contributor, you will also support priority initiatives and the launch of new tools to improve overall sales efficiency.

What you'll do

• Build and maintain dashboards and reporting to monitor the performance of Angi’s sales organization

• Review business, staffing, and turnover trends and develop forecasting models to determine optimal staffing and hiring levels across Angi’s sales teams

• Design and implement sales commission plans that align with company goals, drive performance, and ensure competitiveness in the market

• Analyze sales performance and compensation data to evaluate effectiveness, identify trends and gaps, and recommend adjustments to optimize results

• Develop models to calculate the profitability of sales rep activity and make recommendations to optimize sales performance

• Build analytics plans to support A/B testing, evaluation, and launch of new sales strategies, tools, and processes

• Present findings and recommendations to senior leadership, translating complex data into actionable insights that support business strategy and growth

Who you are

• Bachelor's degree in Data Science, Economics, Statistics, Engineering, or a related field (Master's degree preferred)

• 6+ years of analytical experience in an e-commerce, marketplace, or home services-related field

• Strong proficiency in SQL as well as data analysis tools such as Python or R

• Expertise in data visualization tools such as Tableau, Power BI, or Looker

• Ability to build complex, but clear analytical models and forecasts in Excel and Google Sheets

• Experience analyzing and making recommendations to sales and commission plans for a large sales organization

• Experience leveraging AI tools (Claude, ChatGPT, Gemini, Cortex Code) for automation and daily workflow efficiency

• Experience with headcount planning and sales organization support analytics preferred

• Proven ability to develop and apply predictive models to enhance sales performance

• Strong communication skills to present complex data to cross-functional teams and non-technical stakeholders

• Ability to manage multiple projects independently in a fast-paced environment

• Experience in coaching or mentoring junior team members

We value diversity

We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.

Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Compensation & Benefits

• The salary band for this position ranges from $100,000 - $150,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living.

• This position will be eligible for a competitive year end performance bonus.

• Full medical, dental, vision package to fit your needs.

• Flexible vacation policy; work hard and take time when you need it.

• Pet discount plans & retirement plan with company match (401K).

About Welo Global

Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

ROLE OVERVIEW

Welo Global is partnering with a social media client to build high-quality training data for AI systems. We are looking for Brazilian experts with PhD level to help create challenging, expert-level questions and answers in their field. The content that will directly shape how AI understands Brazilian culture, law, history, and society.

This is a remote, flexible freelance engagement. All work is done in Brazilian Portuguese.

What you'll do

For each assignment, you will craft a challenging, expert-level question on a Brazilian topic in your field (one that AI tools cannot fully answer), write the ideal response in Brazilian Portuguese and break that response down into individually cited facts with their sources and relevance.

Important: AI tools may be used for research support only. All questions, answers, and fact breakdowns must be your own original work.

We are looking for experts in the domain listed in the job posting. As a mandatory requirement, only experts with PhD level would be considered for the role.

Project details

• Language Pair: Brazilian Portuguese
• Task: AI data annotation
• Area of expertise (domain): Religion, Spirituality or Philosophy
• Tools: Consumer-grade LLM with search (e.g., Gemini Pro), for prompt difficulty calibration
• Estimated Volume: 60 hours over approximately 2 months, the hours are flexible, work on your own schedule
• Location: Remote
• Engagement Type: Freelance / Independent Contractor

If this opportunity aligns with your experience, we would be happy to receive your application.

To proceed, please provide the following:

• Share an updated CV
• A brief overview of your relevant experience, particularly in Religion, Spirituality or Philosophy and how many years you have worked in the field
• Your current availability and estimated monthly capacity

Thank you again for your interest in working with Welo Global. I look forward to learning more about your profile and exploring a potential collaboration.

Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global

Job Reference: #LI-JC1

Compensation

Additional Information

About Welo Global

Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

ROLE OVERVIEW

Welo Global is partnering with a social media client to build high-quality training data for AI systems. We are looking for Brazilian experts with PhD level to help create challenging, expert-level questions and answers in their field. The content that will directly shape how AI understands Brazilian culture, law, history, and society.

This is a remote, flexible freelance engagement. All work is done in Brazilian Portuguese.

What you'll do

For each assignment, you will craft a challenging, expert-level question on a Brazilian topic in your field (one that AI tools cannot fully answer), write the ideal response in Brazilian Portuguese and break that response down into individually cited facts with their sources and relevance.

Important: AI tools may be used for research support only. All questions, answers, and fact breakdowns must be your own original work.

We are looking for experts in the domain listed in the job posting. As a mandatory requirement, only experts with PhD level would be considered for the role.

Project details

• Language Pair: Brazilian Portuguese
• Task: AI data annotation
• Area of expertise (domain): History
• Tools: Consumer-grade LLM with search (e.g., Gemini Pro), for prompt difficulty calibration
• Estimated Volume: 60 hours over approximately 2 months, the hours are flexible, work on your own schedule
• Location: Remote
• Engagement Type: Freelance / Independent Contractor

Compensation

Additional Information

If this opportunity aligns with your experience, we would be happy to receive your application.

To proceed, please provide the following:

• Share an updated CV
• A brief overview of your relevant experience, particularly in History and how many years you have worked in the field
• Your current availability and estimated monthly capacity

Thank you again for your interest in working with Welo Global. I look forward to learning more about your profile and exploring a potential collaboration.

Welocalize Talent Management Team

Job Reference: #LI-JC1

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.

Reddit is looking for an experienced Engineering Manager to lead our Feed Retrieval team. In this role, you’ll lead a high-impact team of Machine Learning Engineers building the systems that identify, retrieve, and shape the candidate inventory powering Reddit’s personalized feeds. Your team will work at the foundation of Feed Relevance: expanding the set of high-quality content Reddit can recommend, improving personalization and discovery for users across different levels of signal, and building scalable ML systems that directly shape the experiences of over 120M+ daily users.

If applying ML / AI in production to improve Reddit Relevance excites you, then you’ve found the right place.

Responsibilities:

• Define Technical Vision & Strategy: Define the technical vision and long-term roadmap for Feed Retrieval, aligning large-scale recommender-system investments with Reddit’s product, ecosystem, and business objectives.
• Roadmap & Prioritization: Translate broad Feed Relevance goals into a focused team roadmap, making clear prioritization tradeoffs across model quality, inventory expansion, experimentation velocity, infrastructure cost, and operational reliability.
• Team Leadership & Development: Coach and support the development of your team, constantly seeking opportunities to grow their skills and impact.
• Technical Execution & Delivery: Oversee the design, development, and optimization of retrieval systems that source relevant, diverse, fresh, and high-quality candidates for personalized feed experiences.
• Measurement & Learning: Establish strong measurement, experimentation, and debugging practices so the team can understand retrieval quality, candidate coverage, source incrementality, and downstream impact.
• Platform & Infrastructure Collaboration: Collaborate with ML platform, infrastructure, ranking, safety, and product teams to build scalable, low-latency retrieval systems that can support the next generation of AI-powered recommendations.
• Operational Excellence: Maintain high standards for system performance, reliability, latency, cost efficiency, and responsible recommendation practices.
• Cross-Functional Partnership: Work with cross-functional partners from across the company to identify key areas of opportunity, set expectations, and communicate your team’s work.
• Recruiting & Growth: Partner with our incredible recruiting team to attract, interview, and hire diverse and talented machine learning engineers, growing a world-class team.

Qualifications:

• Experience Leading ML Teams: 2+ years of experience building and managing high-performing ML or recommender-systems teams.
• Deep ML Expertise: Hands-on experience with large-scale production ML systems, ideally including recommender systems, retrieval models, embedding-based systems, sequence models, transformer-based architectures, or LLM-powered recommendation applications.
• Technical Domain Knowledge: Strong understanding of recommender systems, especially candidate retrieval, embedding/indexing systems, ranking handoffs, feed personalization, exploration, content quality, and measurement strategies.
• Strategic Thinking: Ability to develop and communicate a clear technical strategy across ambiguous problem spaces, balancing user relevance, ecosystem health, system scalability, and business impact.
• Impact-Driven Mindset: Passion for developing scalable, well-designed, and responsible AI solutions that drive business value.
• Exceptional Communication & Collaboration: Strong interpersonal skills and a collaborative mindset, with the ability to effectively communicate complex technical topics to diverse audiences and build strong relationships with cross-functional partners.

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, #LI-JS5

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:

$253,300—$354,600 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.

At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.
We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:

The role.

We're hiring a Director of Decision Science to build and lead the team that turns Instructure's data into better decisions. You'll own the decision science function: the people, the roadmap, and the standards. Your team will run experiments, build causal and predictive models, and answer the questions that shape our product, pricing, go-to-market, and operating plans.

This is a people-leadership role. You'll hire, coach, and grow a team of decision scientists, and you'll set the bar for analytical rigor across the company. You'll still be close enough to the work to review a model, challenge a test design, or dig into a dataset yourself. But your main job is making your team's work count, and making sure leaders act on it.

You'll sit at the table with product, engineering, marketing, finance, and the executive team. When a decision is expensive, ambiguous, or high-stakes, you're the person who tells us what the data supports and what it doesn't.

What you'll do.

• Build and lead the decision science team. Hire, onboard, coach, and develop a group of scientists and analysts, and own their career growth.

• Set the function's strategy and roadmap. Decide which problems the team takes on, which it declines, and how success gets measured.

• Partner with product, engineering, marketing, finance, and executive leadership to turn fuzzy business questions into clear analytical problems, then deliver answers people can act on.

• Direct the development of predictive, prescriptive, and causal models that inform product decisions, customer retention, pricing, and operating efficiency.

• Raise the bar on how insights reach decision-makers, from dashboards and metric definitions to written recommendations and executive readouts.

• Present findings and recommendations to senior leaders. Say clearly what we know, what we don't, and what you'd do about it.

• Grow data literacy across Instructure so teams ask sharper questions and read results correctly on their own.

• Work with data engineering and platform teams to make sure the team has the data, tooling, and infrastructure it needs.

• Hold the line on ethical, privacy-conscious data use, including student data. Follow applicable regulations and our own standards, and make sure your team does too.

What you'll bring.

• 10 or more years of experience in data science, analytics, or decision science, including at least three years managing and developing a team.

• A track record of analytical work that changed real decisions and produced measurable business results.

• Deep expertise in experimental design, causal inference, statistical modeling, and machine learning, and the judgment to know which one a problem calls for.

• Strong SQL skills, plus fluency in Python or R.

• Experience with modern data platforms and large-scale data tools, such as Snowflake, Databricks, or Spark.

• The ability to explain a complicated analysis to an executive in plain language, and to defend the method to a peer who knows the math.

• A record of hiring well, developing people, and building a team culture others want to join.

• Comfort setting priorities in a fast-moving environment where the questions change and the data is imperfect.

• A master's or PhD in statistics, economics, computer science, operations research, applied mathematics, or a related quantitative field, or equivalent practical experience.

Nice to have.

• Experience in education technology or another B2B SaaS business.

• Familiarity with subscription and product-led growth metrics, such as retention, expansion, and adoption.

• Experience building an analytics or decision science function from an early stage.

Get in on all the awesome at Instructure!

We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:

• Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.

• Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.

• Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.

• Comprehensive wellness programs and mental health support

• Learning and development resources, including professional development tools and tuition reimbursement, to support your growth

• The technology and tools you need to do your best work

• Motivosity employee recognition program

• A culture rooted in inclusivity, support, and meaningful connection

We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.

Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.

All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.

Any attempt to misrepresent personal or professional information will result in disqualification.

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.

Reddit's Ads Data Science team is seeking a highly motivated Principal Data Scientist to drive the strategic application of advanced quantitative methods across our advertising platform to advance the intelligence powering the advertiser experience on Reddit.

In this pivotal leadership role, you will be responsible for defining and implementing the next generation of foundational data science solutions, leveraging expertise in statistics, econometrics, machine learning and/or other quantitative methods to optimize Reddit's Ads marketplace. You will partner closely with Analytics Engineering to ensure our underlying data systems are continuously upleveled to support advanced analysis and modeling at scale. You will be a strategic partner, collaborating closely with Product, Engineering, and Business leaders to establish the long-term vision for measurement, prediction, and optimization.

As a thought leader, you will champion scientific rigor, causal inference, and economic modeling, while providing deep mentorship to the broader team. If you are passionate about applying foundational quantitative science to solve complex, high-impact business problems, join us in shaping the future of Reddit ads.

What you’ll do

• Define the future of Ads Data Science: Own the design and long-term evolution of our core Ads Data Science solutions and infrastructure, building for the next several years of continued scale, revenue growth, and relevance.
• Strategic leadership & scientific roadmap: Identify fundamental gaps and opportunities in our current systems (including platform, auction, targeting, and full-funnel relevance models). Lead the strategic design and scientific roadmap for new solutions to significantly improve Advertiser ROI, User experience, and Reddit revenue.
• Drive end-to-end impact: Take end-to-end ownership of complex problem domains such as full funnel acceleration, advertiser lifetime value (LTV), and developing advanced predictive and causal frameworks that power Reddit’s strategic investments.
• Establish scientific standards: Define and codify best practices for large-scale statistical modeling, economic analysis, causal inference, offline model evaluation, and A/B experimentation to ensure scientific rigor and trust across the Ads data science and engineering teams.
• Technical deep dive & authority: Be the undisputed domain authority for data scientists, engineers, and product managers on complex problems involving large-scale behavioral data, foundational models for strategic insights, and the economics of marketplace dynamics.
• Translate ambiguity into outcomes: Influence the design and definition of core business and performance metrics, robust measurement methodologies, and collaborate deeply with cross-org XFNs to align on strategic goals and translate insights into tangible action.
• Influence and uplevel the organization: Lead technically minded peers and mentor senior data scientists, influencing technical and statistical direction across the entire product and engineering organization, and championing innovation in ad systems through advanced quantitative techniques.

Requirements

• Demonstrated expertise in at least one of the following: ads marketplace understanding, auctioning/bidding, ads creative & format evaluation, measurement & experimentation at scale
• Master's or Ph.D. in Economics, Statistics, Computer Science, Operations Research, or a related quantitative discipline
• For M.S. holders: 12+ years of industry experience in applied science, data science, or machine learning engineering roles
• For Ph.D. holders: 8+ years of relevant experience applied science, data science, or machine learning engineering roles
• Advanced proficiency in statistical programming (Python or R) and SQL
• Experience with statistical analysis, economic modeling, foundational machine learning and/or optimization techniques
• Strong understanding of experimental design, causal inference, or A/B testing methodologies
• Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners
• Experience working in fast-paced, ambiguous environments with cross-functional teams
• Proven experience in influencing large (500+ engineers/data scientists) organizations on technical direction, statistical rigor, and machine learning best practice

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

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:

$268,000—$365,100 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.

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.

The Team

The Core Ads Ranking team advances user representation and graph learning, improves sequence modeling across ads verticals, and builds robust pipelines and state‑of‑the‑art architectures for foundational models. The team also leads core initiatives in knowledge distillation, model calibration, and heuristic improvement.

This role offers a unique opportunity to shape and scale Reddit’s foundational modeling and deep user‑understanding roadmap, while multiplying impact through close collaboration with downstream teams including Retrieval, Shopping, Click Prediction, Video View‑Through Prediction, Conversion Prediction, and App Ads Modeling. This position is ideal for a leader with deep machine learning expertise, strong strategic vision, and a collaborative mindset capable of engaging effectively with both technical and cross‑functional partners.

Responsibilities:

• Set Technical Vision and Strategy: Define and execute a roadmap for foundational model and user understanding, balancing high-ambuiguity long-term investments with measurable milestones.
• Collaborate Cross-Functionally: Partner with vertical customer teams, horizontal signal teams, and infrastructure/platform teams to align on direction, strategy, priorities, and constraints.
• Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment, ensuring high standards of ML performance, reliability, and robustness.
• Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent while fostering a culture of growth, collaboration, and technical excellence.

Candidate Profile:

• 1+ years of management experience leading ML-focused teams
• 6+ years of experience building and scaling machine learning models, and working with state of the art machine learning models
• 4+ years of hands-on experience with TensorFlow or PyTorch
• End-to-End ML Lifecycle Experience: Proven ability in training, evaluating, and deploying large-scale models
• Experience working with foundational models, user or content understanding.
• Experience with Ads is a plus.

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-AS1

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:

$230,000—$322,000 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.

Joining Collibra’s Public Sector team

At Collibra Public Sector, our Professional Services team relies on Federal Solution Architects to deliver on customer expectations for the services we sell, working directly with customer key projects stakeholders throughout the entire customer journey. Ensuring growth, adoption and renewal, Federal Solution Architects act as customer champions, ensuring customers are onboarded and realizing value rapidly.

Federal Enterprise Solution Architects at Collibra Public Sector are responsible for

• Supporting federal customer engagements by delivering mission-aligned architectural design and execution of Collibra products that adhere to Collibra Public Sector’s Delivery Models, Engagement Processes, Methodologies, and Artifacts, while ensuring compliance with applicable government regulations and security standards (e.g., FedRAMP, FISMA, GovCloud).
• Providing federal agencies with tailored data governance strategies that incorporate best practices, enable knowledge transfer, and drive measurable business and mission outcomes.
• Partnering cross-functionally with Collibra Sales, Customer Engineering, Product, Support, and Executive teams to ensure alignment with federal acquisition cycles and stakeholder priorities.
• Identifying opportunities to expand Collibra’s footprint within agencies by aligning product capabilities to evolving agency mandates, modernization efforts, and compliance requirements.
• Meeting or exceeding utilization goals in support of federal client success, long-term program engagement, and repeatable delivery excellence.
• Contributing to the growth of Collibra’s public sector services and licensing business through account expansion, strategic planning, and customer advocacy.

You have

• 5-10 years of consulting experience supporting U.S. federal agencies with knowledge in the areas of Data Governance, Data Management or Data Quality.
• An understanding of the leading PaaS providers, Data Lakes, Databases, and Integration platforms commonly adopted by federal agencies.
• A minimum of 2 years of experience working with cloud platforms, network-based API integration (REST/JSON), and deployment automation.
• Linux CLI proficiency.
• Hands-on experience with AWS/Azure, Kubernetes, infrastructure and platform.
• Experience with big data technologies such as Spark, and Hadoop.
• Because this role supports the U.S. government business, it is required that this candidate be a U.S. citizen who resides on U.S. soil and holds active security clearance (Secret/TS/TS-SCI).
• Familiarity in enterprise security solutions such as LDAP or Kerberos.
• Hands-on experience with Data Quality, Data Pipelines, Data Orchestration, and/or Job Control tools.
• Knowledgeable of at least least two or three of the following: data management processes, including data governance, data stewardship, master data management, data cataloging, and business rules management
• Proficiency in leveraging APIs via Java, Python, or similar scripting language for custom software implementations in Enterprise Linux or Unix environments.
• Experience with data warehousing, ETL, data integration.
• Skilled in developing functional and technical specifications.
• Experienced with Collibra or comparable technologies.

You are

• Preferably located in the Washington, D.C. metro area to support in-person federal customer engagements, with an on-site requirement of up to 25%.
• An effective communicator across business and technical stakeholders and able to tailor to different audiences.
• Always customer-focused and personally hold yourself accountable for the customer’s success.
• Masterful at troubleshooting, navigating, and facilitating resolution of challenging client connectivity and technical software issues.
• Self-starting and interested in learning new software skills to support intricacies of Collibra’s application stack.
• Able to work with business and IT owners to identify and align on solutions to data challenges, advocating for the importance of preserving data governance and quality.
• Able to lead blueprinting, design workshops, and requirements gathering activities.

Measures of success

• Within the first 30 days of employment, be able to
• Present the services offering to your manager understanding the different deliverables and the value provided.
• Present the Customer Journey framework to your manager understanding the different phases and roles and responsibilities within each phase.
• Clearily understand the roles and responsibilities of all delivery personnel including an Engagement Manager, Solution Architect, Account Program Manager, Premium Support Engineer, Sales Engineer and Account Executive.
• Work with the account team to build project plans aligned to each assigned account.
• Have a baseline understanding of the Collibra product and associated features.
• Within the first 60 days of employment
• Clearly understand and present the functions and features of the product with your manager.
• Show an intermediate understanding of the product with the ability to architect solutions.
• Within the first 90 days of employment be able to
• Execute on customer project plans based on product knowledge for assigned customers.
• Understand and convey to customers how Collibra's suite product capabilities and the projects being delivered provide value to customers.
• Design architectural solutions aligned with customer initiatives.

Compensation for this role

The standard base salary range for this position is $128,000 - 160,000 per year. This position is eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.

In addition to base salary, we offer a competitive total rewards package, including bonus potential, equity for eligible roles, a Flex Fund monthly stipend, pension/401k plans, and more.

Benefits at Collibra

Collibra recognizes and values that everyone has different needs, interests, and life goals. We built our benefits program with flexibility in mind to support you and your loved ones through a diverse range of circumstances and life events. These flexible offerings sit on a foundation of competitive compensation, health coverage, and time off. Learn more about Collibra’s benefits.

We create inclusion and belonging through how we onboard, meet, connect, engage, and communicate. Learn more about diversity, equity, and inclusion at Collibra.

At Collibra, we’re proud to be an equal opportunity employer. We realize the key to creating a company with a world-class culture and employee experience comes from who we hire and creating a workplace that celebrates everyone.

With this, we proudly consider qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sexual orientation, pregnancy, sex, gender identity, gender expression, genetic information, physical or mental disability, HIV status, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status or any other legally protected category. If you have a need that requires accommodation, let us know by completing our Accommodations for Applicants form.

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us.

At Dscout, we're building the human-grounded layer that teaches AI to work in the real world and proves it stays aligned there. We are expanding our smart and driven team and would love for you to join us.

Dscout AI Training & Evals builds human data and evals that show whether AI works for real people. For ten years Dscout has captured how people behave in real context, with consent and scientific rigor. Dscout AI Training & Evals points that engine at AI: consented human behavior and judgment, turned into the training data, evals, and benchmarks AI teams trust.

Models ace benchmarks and still surprise people in the wild. A benchmark says how capable a model is. It does not say whether the model works for the person using it, across weeks, in the mess of real life. That gap is where we work.

We serve AI researchers, the product builders who ship alongside them, and the research teams who partner with both. We are a new unit inside an established company: live customers, a mature platform (React, Elixir, Python, Swift, Kotlin; SOC 2 and HITRUST certified), a small senior team, and room to build. We work AI-native. Agents write code, evals gate changes, and we aim to do in months what used to take years.

A note from our Chief AI Officer & GM. The hardest AI problems show up when a model meets real people, with their tools, their interruptions, and their goals. Our customers need a partner who can design the answer, build it, and ship it fast. Ground Truth sits where deployment meets research: what we learn in the field shapes the science, and the science shapes what we ship. Come build it with us.

Why this seat

• Work on a problem the field has not solved: measuring whether AI works for real people, over real time.
• Study something most evals do not have: real participants, doing real tasks in their own context.
• Own the benchmark. You are founding it, not joining a team that has one.
• Publish. Methods and benchmarks go to the research community, with first authorship on the benchmark.
• Join a small senior team with direct access to the Head of AI Research and the GM.

This is a research-first role focused on questions where the right rubric, benchmark, or method does not yet exist. You will find the gaps, propose bold directions, and take projects from the first hypothesis through experiments and benchmark construction to publication. You will also build: the science has to run inside live customer programs.

What you will do

Rubrics and QA science

• Design rubrics and test whether they measure what they claim: validity, reliability, and sensitivity.
• Measure how reliable human raters are, and when disagreement is noise versus real signal.
• Calibrate AI judges against real human judgment, and study when they drift away from it.
• Build quality signals that put evidence behind every data point we ship.

Long-horizon, real-user benchmarks

• Design Dscout’s first benchmark: real users, in real context, over long horizons. Multi-week tasks across tools, not one-shot prompts.
• Define the protocol, task design, scoring, and release. Work with our delivery team on fieldwork.
• Work out how to keep a living benchmark honest over time: drift, contamination, difficulty, and what counts as a meaningful change.
• Write the paper and own the public release.

Human judgment as training and eval signal

• Study when real-world human feedback improves a model and when it adds noise.
• Explore how preference and judgment data from representative people differ from expert data.
• Turn findings into methods our forward deployed engineers and delivery team can run in the field.

New research directions

• These areas are the core, not the whole list. You will have significant latitude to propose new programs, such as calibrating user simulations against real behavior, human-AI collaboration, and behavioral evaluation of agents.
• Co-author with outside labs and academics on studies that need real-user data. Help run our paper-reading group.

A good first year

• A QA and rubric framework running on live customer programs, with documented validity.
• Benchmark v0 released, with a paper submitted to a top venue.
• At least one external team using or citing our work.
• Delivery colleagues using your methods without needing you in the room.

How we will hire: a conversation with the Head of AI Research; a research talk on your publication; a design exercise (how would you validate a rubric for a long-horizon task?); a conversation with the GM, forward deployed engineers, and delivery partners.

What we care about most. A strong publication record helps. We care most about whether you can find the question that matters, design a rigorous way to answer it, and move fast enough that the answer is still useful.

What you bring

• Published research in evals, preference learning, reward modeling, human-AI interaction, measurement, or agent evaluation.
• A PhD, a PhD in progress, or an MS with two or more strong research internships at labs or top industry groups. If you do not have advanced degrees but have a history of creative machine learning research work, this is just as desirable.
• Strong applied statistics: inter-rater reliability, confidence intervals, power, and a nose for when a metric misleads.
• Hands-on experience with LLM-as-judge, rubric-based evaluation, and preference data.
• Strong Python, and the ability to build research prototypes and evaluation pipelines other people run. You use AI coding tools as a real part of your workflow.
• Experience running experiments on messy human data, not only curated datasets.
• Clear technical writing, and the ability to explain your work to a lab researcher and to a product manager.
• Based in the Bay Area.

Nice to have: long-horizon or agentic evaluation work; psychometrics, item response theory, or human-subjects research; open-source benchmark or dataset contributions.

Compensation: $250-400K OTE + Equity. Includes a built-in bonus and equity program, publication freedom, a conference budget, flexible PTO, 15 holidays, 12 weeks of paid parental leave, 401k match, and an education stipend.

This is an ideal list. If the role excites you and you do not check every box, we would still love to hear from you.

Of course, what is outlined above is an ideal set of expectations; however, business needs and other projects and tasks may shift, and additional tasks could be assigned at the discretion of your manager.

About Dscout

Dscout is a team of passionate, empathetic, and curious professionals. As a recognized leader in the Forrester Wave, we’re at the cutting edge of experience research technology. The power of research drives us - how in-context insights from real people can build more enjoyable products and services.

We prioritize learning, sharing, and building. We also deeply value being a diverse and inclusive team and company and look for team members who align with that belief. Join our dynamic team and help shape product roadmaps and business strategies for the world’s most loved brands.

It doesn't stop there. When you join the Dscout team, you will get:

• A strong and competitive compensation package with a built-in bonus and equity program.
• An incredible and progressive benefits package (for both you and your dependents) to support work/life balance, including flexible PTO, 15 company holidays, 12 weeks of paid parental leave, 401k match, and much more.
• An education stipend to support your growth & development, and a remote work stipend.
• A company that is open and transparent with our team. You will know what is happening and why it matters.

Dscout is an equal-opportunity employer that values diversity. We do not discriminate based on identity, including race, color, religion, national origin or ancestry, sex, gender identity and expression, age, physical or mental disability, pregnancy, veteran or military status, unfavorable discharge from military service, genetic information, sexual orientation, marital status, order of protection status, citizenship status, arrest record or expunged or sealed convictions, or any other legally recognized protected basis under federal, state, or local law.

If you need reasonable accommodations for any part of the employment process, please email us at accommodations@dscout.com with the nature of your request and your contact information. We'll do everything possible to ensure you're well-prepared for success during our interview process, while also upholding your privacy, including accommodating any special requests. Please note that only inquiries regarding requests for reasonable accommodation will be responded to from this email address.

When you apply at Dscout, we will process your job applicant data, including your employment and education history, transcript, writing samples, and references, as necessary to consider your job application for open positions. For more information about our privacy practices, please visit our Privacy Policy.

Dscout participates in the E-Verify program in certain locations, as required by law.

Location Flexibility: Dscout is proud to support a remote-first workforce and enable employees to work from almost anywhere. At this time, however, we are unable to hire in the following locations: Montana, Hawaii, Alaska, and Washington DC.

NOTE: DSCOUT NEVER CONTACTS JOB APPLICANTS VIA TEXT, MESSENGER, OR OTHER SIMILAR APPLICATIONS. BE AWARE OF PHISHING AND SPOOFING SCAMS, BOTH VIA TEXT AND EMAIL. ONLY RESPOND TO EMAILS FROM DSCOUT.COM