Science,IT & Telecoms,IT & Telecoms|Data Scientist,Science|Scientist Jobs

Immediate need for a talented Data Scientist. This is a 06+ Months Contract opportunity with long-term potential and is located in Mclean, VA (Onsite). Please review the job description below and contact me ASAP if you are interested.

Job ID:(phone number removed)

Pay Range: $70 - $75/hour.  Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
 
Key Responsibilities:

• Design and implement contemporary data transfer methodologies that seamlessly load data into a modern OLTP.
• Leverage AI for faster migration, efficient data reconciliation, and smooth user transition.
• Partner with internal collaborators and develop strong stakeholder relationships across architecture, security, networking, platform, and application teams.

Key Requirements and Technology Experience:

• 1-3 years of AI migration experience and working with legacy systems.
• 8+ years of hands-on experience in application development.
• Good hands-on AI experience and experience interacting/working with chatbots.
• Experience with GenAI/ML for migration and transformation of legacy code/systems.
• Familiarity with Kiro and existing legacy code.
• Fixed Income experience is nice to have.
• Strong knowledge of data streaming concepts and distributed systems.
• Proven hands-on experience with multiple technologies like APIs, Microservices, Event Streaming, Logging & Monitoring, Databases (SQL, NoSQL), Containers, Serverless Frameworks, DevOps, etc.
• Bachelor’s degree in computer science or equivalent experience required; advanced studies/degree preferred.

Our client is a leading Financial services Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
 
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Position Requirements

• Proficiency in common data science tools and programming and scripting languages such as SQL, Python, R, and JavaScript with a proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications.
• Skill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact. These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.
• Skill using advanced analytic techniques such as machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, and statistical and mathematical methods.
• Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders.
• Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
• Review, analyze, and modify existing products including coding, debugging, testing, and documenting.
• Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
• Assist with training and conference development which may include presentations to large audiences.
• Facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
• Ensure that quality/security guidelines are followed.
• Strong relational database and querying languages experience.
• Strong verbal and written communication skills.
• Must be able to work effectively in a team environment.
• Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).

Desired Requirements

• Specialized experience working with programming languages (e.g., Python), business intelligence tools (e.g., Power BI), and analytics platforms (e.g., Databricks).
• Knowledge and experience in the law enforcement and/or audit industry
• Knowledge and experience using cloud computing platforms such as Azure
• Knowledge and experience with relational databases and structured query language (SQL)

Experience

• Must have a Degree in Computer Science, Information Technology, Data Analytics, or related field.
• Minimum of 5+ years' experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
• Minimum of 3+ years' experience working with projects involving machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, as well as statistical and mathematical methods.
• Minimum 6 months' experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
• Professional Certification(s) in a related field of data science and/or data analytics disciplines preferred.
• Candidates MUST be a US Citizen and be able to obtain a Position of Public Trust Clearance. Must not have traveled outside the US for a combined total of 6 months or more in last 5 years and have resided in the US for the last 5 years.

Location: Basking Ridge, NJ

- Mid-Level: 1

- Senior-Level: 1

Key Responsibilities:

• Analyze large and complex wireless telecommunications datasets to identify trends, anomalies, optimization opportunities, and business value drivers.
• Proactively Client new AI and machine learning use cases through data exploration rather than relying solely on predefined requirements.
• Act as the primary liaison between business stakeholders, AI engineering teams, data scientists, and technical organizations.
• Translate business challenges into data-driven opportunities and AI solution recommendations.
• Guide AI engineers on data quality, feature engineering opportunities, business context, and potential model applications.
• Evaluate network, customer, operational, and performance data to identify opportunities for automation, prediction, optimization, and intelligence.
• Develop data-driven strategies that support network operations, customer experience improvement, and operational efficiency initiatives.
• Collaborate with cross-functional teams to define data requirements, success metrics, and AI/analytics roadmaps.
• Present findings, recommendations, and strategic insights to senior leadership and business stakeholders.
• Create executive-level dashboards, reports, and visualizations that communicate complex analytical findings in a clear and actionable manner.
• Assess data sources and determine their applicability for predictive analytics, machine learning, and GenAI initiatives.
• Drive continuous innovation by identifying emerging data opportunities within the mobile network ecosystem.
• Support prioritization of AI initiatives based on business impact, feasibility, and available data assets.
• Establish best practices for telecom data analysis, insight generation, and AI enablement.

Qualifications:

• 10+ years of experience in data analytics within the telecommunications or wireless industry.
• Strong understanding of wireless network architecture, RAN, mobility data, network KPIs, customer experience metrics, and operational processes.
• Proven experience translating business problems into data-driven recommendations and analytics strategies.
• Advanced experience with SQL and large-scale data analysis platforms.
• Experience working with AI/ML, advanced analytics, or data science teams.
• Strong stakeholder management and executive communication skills.
• Demonstrated ability to work independently and provide strategic direction without detailed requirements.
• Experience delivering executive presentations and influencing decision-making through analytics.
• Experience with AI, Machine Learning, GenAI, or Agentic AI initiatives.
• Knowledge of network performance analytics, customer experience analytics, and operational intelligence platforms.
• Experience working directly with Tier-1 wireless operators such as Telecommunication, AT&T, Telecommunication, or major telecom vendors.

Role : Data Scientist
Location : Scottsdale AZ (onsite)
Rate : $72/hr.


Data Scientist JD:

• Experienced data science, engineering, mathematics, or related work experience is required.
• Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets
• Experience applying various machine learning techniques, and understanding the key parameters that affect their performance
• Experience using ML libraries, such as scikit-learn, mllib, etc.
• Experience using data visualization tools
• Able to write production level code, which is well-written and explainable
• Interest to do lots and lots of proof of concepts/rapid prototyping
• Ability to effectively communicate findings from complex analyses to non-technical audiences.

Essential Functions

• Explore and aggregate data independently to uncover data anomalies that impact algorithm performance
• End to end feature engineering - brainstorm, create, validate, down-select, etc.
• Write production level code in a dynamic, start-up environment
• Solve complex problems using terabyte size data sets
• Apply of a variety of machine learning techniques to a business problem to arrive at optimal approach
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities
• Explain and visualize results and algorithm performance to non-technical audiences
• Support the company's commitment to protect the integrity and confidentiality of systems and data.

Preferred Qualifications

• Pyspark experience
• Building fraud and/or risk models
• Knowledge of advanced ML algorithms
• Industry experience in machine learning
• Experience exploring data and finding hidden patterns

As a Data Scientist, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Data Scientist joining our team to support the development of systems and capabilities centered on our comprehensive motion imagery software suite. The Data Scientist will focus on ensuring the mission is met while upgrading to cutting-edge technologies in full motion video (FMV) of the programs technical vision. We need people to analyze aircraft operations and, separately, perform Multi Object Tracking on live video.

Requirements

Requirements:

Skills developing with Python (substitue languages that fulfill the need would work)

Work with operational data stored in Elastic, and archived data stored in Oracle, with live data is in Kafka.

All code will be deployed to Kube and we plan to use current GPUs

We need people to analyze aircraft operations and, separately, perform Multi Object Tracking on live video.

Team lead role is filled, but subject matter experts (SMEs) are entirely welcome.

Benefits

Leading Path is an award-winning Information Technology and Management Consulting firm focused on providing solutions in process, technology, and operations to our government and Fortune 500 clients. We offer a professional and family friendly work environment with a strong work-life balance. Leading Path provides a comprehensive and competitive benefits package including fully paid medical/dental/vision premiums, generous PTO, 11 Paid Holidays, 6% 401K contribution, annual training and tuition reimbursement, SPOT Award bonuses, regular team events, opportunities for professional growth and advancement and much more!

Title: Data Scientist Location: Alexandria, VA Onsite

Must-Haves:

• • Python
  • Data Pipelines / ETL
  • Data Wrangling & Data Integration
  • AI / Machine Learning
  • Power BI & Dashboard Development

A leading government contractor is seeking a Data Scientist to support a mission-focused federal program operating at the intersection of national security, intelligence, and emerging technology. The Data Scientist will develop advanced analytical models, artificial intelligence (AI) capabilities, and machine learning (ML) solutions that transform large volumes of operational and mission data into predictive insights and decision-support products. This role requires expertise in statistical modeling, predictive analytics, data science methodologies, and AI-enabled technologies supporting operational planning, mission assessments, capability development, and strategic decision-making.

Key Responsibilities

• Develop, implement, and maintain advanced statistical models, machine learning algorithms, and AI-enabled analytical solutions supporting operational decision-making.
• Utilize Maven Smart System (Client), Palantir, Power BI, Python, and AI-enabled analytical platforms to develop predictive models and mission decision-support capabilities.
• Analyze large volumes of structured and unstructured operational, intelligence, and enterprise data to identify trends, anomalies, correlations, and predictive indicators.
• Design and develop predictive analytics, forecasting models, classification algorithms, and optimization techniques to support operational planning and resource allocation.
• Leverage artificial intelligence, machine learning, and data science methodologies to automate information extraction, target identification, threat analysis, and operational assessments.
• Develop dashboards, analytical visualizations, predictive data products, and executive decision-support tools that effectively communicate complex analytical findings.
• Collaborate with Data Engineers, Data Analysts, software developers, operators, intelligence analysts, and mission stakeholders to develop integrated analytical solutions supporting mission objectives.
• Develop analytical frameworks and quantitative models to evaluate system performance, operational effectiveness, capability gaps, technology maturity, and acquisition priorities.
• Support operational experimentation, technology demonstrations, capability evaluations, and acquisition efforts through advanced modeling and data-driven analysis.
• Produce technical documentation, model documentation, analytical reports, executive briefings, and recommendations supporting senior leadership.

Required Qualifications
Education & Experience: MA/MS with 10+ years' experience; BA/BS with 15+ years; AA/AS with 17+ years; or HS/GED with 19+ years. Demonstrated experience applying data science methodologies to solve complex operational or enterprise challenges.

Technical Skills:

• Experience utilizing Maven Smart System (Client), Palantir, or similar enterprise analytics and data integration platforms.
• Advanced proficiency with Python for data science, statistical analysis, machine learning, automation, and model development.
• Experience developing predictive models, statistical analyses, machine learning algorithms, or artificial intelligence applications.
• Experience utilizing Power BI or similar business intelligence platforms to develop advanced dashboards and analytical visualizations.
• Strong understanding of supervised and unsupervised machine learning techniques, statistical modeling, predictive analytics, and data mining methodologies.
• Experience collecting, organizing, cleansing, validating, and exploiting structured and unstructured datasets from multiple operational and intelligence sources.
• Experience leveraging AI-enabled tools, large language models (LLMs), or advanced analytics platforms to support operational decision-making.
• Strong proficiency with Microsoft Office Suite, including the ability to develop technical documentation, analytical reports, and executive briefings.

Professional Skills:

• Ability to communicate complex analytical concepts and model outputs to senior leadership in a clear and actionable manner.
• Proven ability to collaborate across multidisciplinary technical and operational teams.
• Experience with doctrine, policy, analysis, or coordination within a large government organization.

Preferred Qualifications

• Experience supporting defense, intelligence, or homeland security organizations.
• Experience in the counter-system or counter-threat mission space, particularly involving unmanned or improvised systems.
• Familiarity with intelligence data sources, sensor fusion, geospatial intelligence, operational data feeds, and mission command systems.
• Experience developing AI-enabled capabilities for object detection, pattern recognition, anomaly detection, or threat forecasting.
• Experience with cloud-based AI/ML environments, distributed computing, MLOps, model lifecycle management, and enterprise data governance.
• Experience supporting operational research, capability development, technology evaluations, or acquisition decision-making within defense organizations.
• Backgrounds in surface warfare, aviation, maritime defense, or installation defense are considered transferable.

Required Qualifications

• Overall 10-12yrs and Minimum 5-7 years of hands-on experience developing GenAI/ML models and deploying them in a cloud environment.
• Proficiency with Google Cloud Platform (GCP) and its AI/ML offerings (e.g., Vertex AI, BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Run, GKE).
• Must have experience working with any agentic framework
• Knowledge of Retrieval-Augmented Generation (RAG) concepts and processes
• Strong software engineering skills: Python (primary), experience with ML frameworks (TensorFlow, PyTorch, scikit-learn), and API development (REST/GraphQL).
• Experience designing and deploying microservices architectures and containerized solutions (Docker, Kubernetes; preference for GKE).
• Solid experience in MLOps: model versioning, experiments, automated training, feature stores, model registries, monitoring, and governance.
• Data processing and analytics expertise: SQL, data pipelines, ETL/ELT concepts, data quality, and data visualization support.

Software Guidance & Assistance, Inc., (SGA), is searching for a Senior Data Scientist for a CONTRACT assignment with one of our premier Regulatory clients in the New York, NY or Jersey City, NJ or Rockville, MD area.

We are seeking an experienced Senior Data Scientist to join our team and drive impactful data-driven insights that inform strategic business decisions. This role requires a blend of technical expertise, analytical rigor, and excellent communication skills to collaborate effectively across technical and non-technical stakeholders.

Responsibilities :

• Design, develop, and deploy machine learning models to solve complex business problems
• Explore and implement generative AI solutions to enhance analytical capabilities and business processes
• Create advanced, interactive visualizations and dashboards to communicate insights to diverse audiences
• Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions
• Conduct rigorous statistical analyses to validate findings and ensure data integrity
• Lead stakeholder engagement, presenting complex technical concepts in accessible ways
• Mentor junior team members and contribute to the growth of the data science practice
• Deploy and maintain models in cloud-based environments
• Drive end-to-end project delivery from problem definition through implementation

Required Skills :

• Python Proficiency: Expert-level skills in Python for data analysis, modeling, and automation (required)
• Data Manipulation & Processing: Strong proficiency in pandas for data analysis and PySpark for large-scale distributed data processing
• SQL: Advanced SQL skills for data extraction, transformation, and analysis across various database systems
• Statistics: Strong foundation in statistical methods, experimental design, and hypothesis testing (required)
• Machine Learning: Hands-on experience building, training, and deploying ML models in production environments
• Advanced Visualization: Proficiency with Plotly and Plotly Dash for creating interactive, production-grade visualizations
• Cloud Technologies: Experience with cloud platforms (AWS, Azure, or GCP) for data processing and model deployment
• Communication Skills: Exceptional ability to communicate technical findings to both technical and non-technical audiences
• Stakeholder Management: Proven track record of managing stakeholder relationships and driving alignment
• Education: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related quantitative field; advanced degree (Master's or PhD) preferred

Preferred Skills :

• Generative AI: Experience with large language models (LLMs), prompt engineering, and GenAI applications
• Experience with graph databases and graph analytics
• Knowledge of network analysis and graph-based algorithms
• Experience in financial services or regulated industries
• Familiarity with MLOps and model monitoring best practices

SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at (url removed) .

SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.
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Job Description* About the role
Work with Clients and India team in building, training and scoring ML Models for Demand Forecasting; strong understanding of statistical and machine learning models. Build strong relationships with clients onshore and act as liaison between Client teams and India Data Science teams Is travel required for position?* Yes ECMS REQ ID* (phone number removed) Project Location* Chicago, IL - USA Relevant Experience* 5+ years in Machine Learning and Statical Modelling Mandatory skills* Strong written and spoken communication skills, Statistical and Machine Learning modelling , Python Desired skills* Airline Domain Knowledge, Julia Programming language

Indent: SF_OP_(phone number removed)/ SF_OP_(phone number removed)

Role: Data Scientist

Location: Oakland/MTV/San Diego CA (3 days Work from Office)

Max Rate: $65/hr

Responsibilities

• Perform hands-on data analysis and modeling with huge data sets
• Apply data mining, NLP, and supervised/unsupervised ML to design, improve, and evaluate relevance and personalization algorithms across customer journeys.
• Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
• Client data sources, get access to them, import them, clean them up, and make them "model-ready”. You need to be willing and able to do your own ETL
• Engineer and iterate on features from underlying data, combining domain understanding with statistical rigor to propose, evaluate, and refine feature sets that improve model performance over successive cycles.
• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders
• Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver

Qualifications:

• BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.)
• 4+ years of industry experience with Data Science and Machine Learning
• 4+ years of experience in modern advanced analytical tools, programming languages - Python with scikit-learn
• Efficient in SQL, Hive, SparkSQL, etc.
• 4+ years of experience in applied machine learning and statistical modeling (e.g., classification, regression, decision trees, neural networks, recommender systems, sequential pattern discovery, and text mining), with hands-on experience in deep learning and embedding-based representations for NLP/language understanding, recommendation, and personalization.
• Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences

Data Scientist

Location: Oakland/MTV/San Diego CA (3 days Work from Office)

Max Rate: $65- 67/hr

Responsibilities

• Perform hands-on data analysis and modeling with huge data sets
• Apply data mining, NLP, and supervised/unsupervised ML to design, improve, and evaluate relevance and personalization algorithms across customer journeys.
• Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
• Client data sources, get access to them, import them, clean them up, and make them "model-ready”. You need to be willing and able to do your own ETL
• Engineer and iterate on features from underlying data, combining domain understanding with statistical rigor to propose, evaluate, and refine feature sets that improve model performance over successive cycles.
• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders
• Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver

Qualifications:

• BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.)
• 4+ years of industry experience with Data Science and Machine Learning
• 4+ years of experience in modern advanced analytical tools, programming languages - Python with scikit-learn
• Efficient in SQL, Hive, SparkSQL, etc.
• 4+ years of experience in applied machine learning and statistical modeling (e.g., classification, regression, decision trees, neural networks, recommender systems, sequential pattern discovery, and text mining), with hands-on experience in deep learning and embedding-based representations for NLP/language understanding, recommendation, and personalization.
• Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences