Top Senior Data Science Jobs

Seeking a Data Scientist to analyze healthcare data, design models, and communicate insights to improve financial outcomes and member care. Requires strong technical expertise and collaboration across functions.

The Data Scientist role involves developing measurement models, writing production-quality code in Python, and collaborating with teams to optimize data pipelines and ML workflows.

This role involves leading data science projects, designing technical solutions, implementing machine learning methodologies, and developing data workflows for cybersecurity applications.

Apply data science and ML techniques to large structured and unstructured datasets to support DoD strategic decision-making. Perform statistical analyses, build production-quality visualizations and dashboards, lead projects from scoping to delivery, mentor junior staff, collaborate with stakeholders, and communicate insights to senior leadership using distributed computing and reproducible analytic workflows.

As a Senior Data Scientist, you will analyze complex data sets, develop predictive models, and guide clients in decision-making through data visualization and insights.

GliaCell seeks a Data Scientist with experience in software development and strong communication skills. Responsibilities include data analysis, modeling, and working with government contracts. Must possess a TS/SCI clearance and programming expertise in Python and R.

Lead forecasting, budgeting, and LTV modeling for eCommerce; develop demand and customer-behavior models; validate A/B tests; drive AI/LLM adoption and prototype solutions; translate analyses into executive-ready insights and partner with Finance, Product, and Marketing.

Lead forecasting, budgeting, LTV and retention modeling, and advanced analytics for eCommerce. Drive AI/LLM adoption, build prototypes and scalable solutions, validate A/B tests, partner cross-functionally, and translate analyses into executive-level narratives to inform strategic decisions.

Lead development of automated, auditable revenue data pipelines and anomaly detection to improve reconciliation and data integrity. Build reusable financial data assets, dashboards, and reports; collaborate with finance and cross-functional teams to support month/quarter-end close and audit readiness.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead and deliver end-to-end data science projects: design, build, deploy, and monitor ML/statistical models for credit risk, pricing, collections, and fraud. Partner with cross-functional teams to integrate models into production, set model development standards, mentor engineers, and maintain reliable ML pipelines and monitoring systems.

As a Senior Data Scientist, you will develop technologies for signals exploitation, perform data analysis, and implement algorithms while collaborating with project teams.

Lead a 5–8 person Data Science team to develop and operationalize FWA detection models using SAS and Python on multi‑payer healthcare claims. Oversee model development, data pipelines, quality reviews, stakeholder presentations, and collaboration with SMEs and BI developers. Split role ~40% management, 60% hands-on coding/analysis.

Design, develop, and operationalize Python-based analytic pipelines and interactive dashboards integrating structured and unstructured data to support DoD/IC missions. Modernize legacy workflows for scalability and reproducibility, lead analysis and automated processes, and serve as a senior SME coordinating with clients on data-driven solutions in high-consequence environments.

Embed with a core business area to define right problems, build metrics, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end to improve product, growth, AI, or partnerships.

Embed in a core business area to define problems, build metrics, run analyses and experiments, surface insights, and drive outcomes by recommending and executing data-driven actions end-to-end.

Own analytics for an embedded business unit end-to-end: define problems, set metrics, build reports, run analyses and experiments, surface insights, and drive data-informed decisions and outcomes with product, growth, AI, or partnerships teams.

Embedded within a core business area, you will define problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end to impact growth, product, AI/automation, or partnerships.

Use data analytics and machine learning to detect conduct and financial crime risks. Build data pipelines, clean and transform data, develop statistical and predictive models, apply graph/network analytics, produce dashboards and MI, and collaborate with stakeholders and technology teams to improve AML and market surveillance processes.

Senior Data Scientist performs data analysis, regression, and machine learning on structured and unstructured data; builds BI dashboards and metrics; manages ETL and analytics processes; ensures compliance; partners with business, IT, and vendors to design data-driven solutions; leads initiatives and mentors others.

Lead data-science and risk-analytics for risk-based review selection. Build, maintain, and operate models, scripts, formulas, and dashboards that rank partner agencies by risk. Aggregate and validate data, compute health scores, visualize findings and trends, support quarterly risk meetings, and maintain the Risk Support Work Plan.

Build and maintain data science models and quantitative measurement frameworks to guide infrastructure decisions (chargers, parking, depots). Analyze infra efficiency and identify improvements. Collaborate cross-functionally with Supply Operations, Product, and Engineering to incorporate business context into model-driven decisions supporting expansion to new territories and cities.

Develop and maintain predictive pricing, retention, and conversion models using GLMs and advanced analytics; build monitoring tools for rating performance; support rate filings, product pricing analyses, competitor research, and cross-functional collaboration to inform pricing and enterprise risk decisions.

Lead and mentor data science projects using Epic/Cogito and SQL-based tools. Gather requirements, extract and model data, perform statistical analyses, build visualizations and reports, manage stakeholders and project workflows, and standardize team practices and data architecture.

Lead Fraud Data Scientist to define ML strategy, build and productionize fraud detection models (including lending fraud), run advanced analyses and A/B tests, mentor the team, integrate ML with rule engines, and create dashboards to monitor fraud KPIs and model performance.