Top Data Science Jobs

The Data Scientist II will drive projects in data science, manage analytics and modeling work, and collaborate closely with cross-functional teams.

The Data Scientist I will implement strategies on a decision-making platform, support product development through data-driven insights, and enhance risk and revenue strategies using data modeling techniques.

The Data Scientist will create and deliver analytic processes and data solutions while coordinating with clients to address data-related issues. Responsibilities include designing data architecture, building ETL pipelines, integrating APIs, conducting impact analysis, and preprocessing geospatial data.

The Data Scientist will analyze geospatial data, communicate insights, collaborate with teams, and enhance data processes to support national security missions.

Turn raw customer supply-chain data into structured representations and models. Interpret and contextualize noisy data, form and test hypotheses, build inference, regression, simulation and optimization logic, validate model quality in production, and translate scientific requirements into engineering specifications while collaborating with data engineers and supply-chain experts.

Own revenue and product analytics: build KPIs, dashboards, dbt-style data models, run product/usage experiments, partner with GTM, and deliver executive insights to scale revenue operations.

Build and validate predictive and causal inference models from messy healthcare commercial data; translate models into dashboards/scoring systems; partner with marketing, market access, and commercial teams to inform strategy and deploy model-driven decisions.

Lead data science engagements: work with clients to define problems, build ETL pipelines, develop machine learning models and algorithms, create visualizations, guide teammates, and deploy analytic solutions to inform decision-making across classified and unclassified environments.

Design and implement data science solutions: build ETL pipelines, clean and model structured/unstructured data, develop predictive and ML algorithms, create visualizations, lead teammates, and communicate insights to clients. Work often involves classified intelligence data and integration of FOSS/COTS tools.

Develop and apply data science methods (data cleaning, pipelines, exploration, visualization) and predictive models to extract insights from structured and unstructured data. Work with clients to define questions, build algorithms and systems using ML/AI/NLP techniques, and deliver actionable data-driven recommendations.

Build, maintain, and improve decision systems and predictive models; explore internal and external data; design and run in-market experiments; prototype solutions; recommend data-driven strategic changes; implement advanced analytics methods.

Lead design and implementation of AI/ML models, data integration, analysis, and visualization for translational research. Enhance open-source data platforms (Gen3), enforce data governance, mentor junior staff, collaborate with researchers, and translate scientific requirements into production-ready data science solutions.

Perform advanced analytics and predictive modeling to optimize USCIS field operations. Build dashboards, forecast workloads, track KPIs, conduct impact analyses, run deterministic and probabilistic models, support testing cycles, and advise on IT/AI enhancements to improve staffing and operational efficiency.

Perform statistical and operational analyses, assess and improve data quality, use SQL and GIS/geospatial data to support reporting, evaluate program outcomes, build public-facing reporting tools, and coordinate data sharing and communications with stakeholders.

The Senior Data Scientist will engage with business partners to solve problems using data science, lead model development, and mentor others, focusing on supply chain and causal modeling.

The Senior Data Scientist will leverage data insights to drive growth in lending, foster AI integration, and mentor colleagues while ensuring high-quality data reporting and visualization.

The Senior Data Scientist will manage end-to-end data science efforts, ensure stakeholder trust through timely analysis, and build systems for reproducibility while collaborating with various teams.

Lead a data science team developing data-driven solutions for CMS Medicare quality reporting. Build and optimize predictive models and backend jobs using Python, PySpark, and Databricks. Conduct code reviews, debugging, documentation, ML monitoring, and stakeholder collaboration. Ensure deliverable quality, participate in Agile ceremonies, and drive process and performance improvements.

The Data Scientist will develop Big Data/Cloud solutions, manage data manipulation, and work in an agile team for national security projects.

The role involves deploying data science solutions in cybersecurity, collaborating with customers and teams to operationalize models and enhance security insights.

The Staff Data Scientist leads data science projects, providing technical guidance and mentorship, identifying AI opportunities, and managing project initiatives with a focus on developing predictive models and analytics capabilities.

As a Senior Data Scientist, you will analyze complex data, develop algorithms, and create insights using machine learning and AI techniques in various sectors, while collaborating closely with clients.

As a Senior Data Scientist, you will analyze complex datasets, develop algorithms, and apply machine learning to solve critical business problems across various sectors while collaborating with clients to provide actionable insights.

Seeking a Data Scientist with an active TS/SCI clearance to support government contracts with expertise in data analytics and automation.

GliaCell seeks a Data Scientist to support U.S. Government customers with technical expertise in mission-critical software and systems. Responsibilities include custom data analytics, adversary defeat analysis, and data visualization, requiring collaboration and strong communication skills.