Top Senior Data Science Jobs

Design, refine, and operationalize GEOINT analytic models to convert inconsistent geospatial attributes into defensible scoring frameworks. Automate workflows, build dashboards, integrate models with analytic platforms, and collaborate with analysts and leadership to ensure methodological rigor and transparency.

Lead design and delivery of people analytics products using predictive models and language models. Build unified workforce data models, semantic layers, governance, continuous listening & survey frameworks, and enforce experimental and psychometric rigor to inform talent, retention, and team-performance decisions.

Support Defense Intelligence analysts by building data pipelines, ML models, and analytics for multi‑INT data. Perform data engineering, mining, predictive analysis, and deliver visualizations. Use Python, R, SQL, Power BI, and Tableau. Work requires active TS/SCI clearance and 8+ years of data science experience.

Lead data science projects to identify growth and efficiency opportunities, design and deploy ML/DL models, define data acquisition strategies, mentor junior data scientists, manage stakeholders, and help build AI/ML capabilities for Honeywell Forge on cloud and distributed compute platforms.

Lead and execute advanced data science projects: identify opportunities, define data acquisition, build and deploy ML/DL models on cloud and containerized pipelines, mentor junior data scientists, manage stakeholders, and help shape enterprise AI/ML strategy for Honeywell Forge.

Lead predictive modeling and statistical analyses to support member and provider interventions, evaluate care management programs, develop/customize algorithms, process large distributed datasets (e.g., Denodo), score models in batch/real-time, visualize results, and present findings to stakeholders and clients.

Lead end-to-end experimentation and analytics for the fintech product: design A/B and multivariate tests, measure impacts on behavior, unit economics, and risk; turn model outputs into business rules; define metrics and dashboards; partner with product, finance, risk, and engineering; and communicate results to non-technical stakeholders.

Partner with product teams to define measurable outcomes, build and govern metrics, design and evaluate experiments, validate data quality, create dashboards and data models, and translate analyses into actionable product recommendations while improving analytics instrumentation and scalable practices.

Partner with product teams to define and govern success metrics, design and evaluate experiments, build dashboards and data models, validate and prepare analysis-ready data, and translate analyses into actionable recommendations to guide product decisions and scale analytics practices.

Lead development, maintenance, and monitoring of credit risk models for lending portfolios. Use SQL and Python to build pipelines, perform EDA, forecast losses, automate dashboards, produce audit-ready documentation, support model governance/validation, and communicate insights to stakeholders.

Lead end-to-end data science initiatives, developing AI solutions for personalization, marketing, and product experience while collaborating with cross-functional teams on machine learning models.

Lead measurement and experimentation for the Identity product, define metrics and frameworks, design A/B tests and causal analyses, build datasets and dashboards, quantify growth vs. abuse trade-offs, and partner cross-functionally to inform product strategy.

Design, implement, and maintain marketing inference models (e.g., MMM and attribution). Analyze large datasets and A/B/uplift experiments with rigorous statistics, build predictive and causal models, partner with marketing to generate testable ideas, and communicate insights to drive marketing decisions.

As a Staff Data Scientist, you will analyze large-scale broadband data, develop and validate ML models, and integrate solutions into Calix Cloud, collaborating with teams for enhanced network intelligence and subscriber experience.

Build and scale data science products for marketing measurement. Design econometric and causal models, estimate price/incentive elasticities, develop predictive models, partner with engineers for feature sourcing and productionization, communicate results to stakeholders, and uphold MLOps and model quality best practices.

Lead marketing analytics and modeling to grow lending business: design experiments, build and validate campaign pipelines, measure funnel and ROI, manage direct-mail campaign selection and execution, create dashboards and provide data-driven recommendations to marketing and senior leadership.

Lead product-focused data science and analytics work: define success metrics, design and analyze A/B tests, investigate product and customer performance, build anomaly detection frameworks, and translate insights into product and roadmap recommendations while partnering with cross-functional teams.

The Senior Data Scientist will implement and test ML models for international products, collaborating with cross-functional teams to drive insights and deploy solutions.

The Lead Data Scientist will manage projects on credit risk and business intelligence analytics, leveraging statistical models to provide insights for financial services clients. Responsibilities include developing solutions, leading client engagements, and mentoring junior staff.

Lead development of scalable analytics and evaluation systems for LLM and AI-powered products. Partner with execs, product, and engineering to define metrics, apply statistical and ML methods to measure and forecast product and system performance, automate analyses and self-serve insights, and mentor junior data scientists while owning evaluation pipelines and AI-native integrations.

Lead data science projects: explore, clean, analyze structured and unstructured data; develop predictive models and visualizations; guide teammates and work with clients to deliver data-driven solutions for intelligence and public/private sector problems.

Use Palantir Foundry and ontology tools to ingest, transform, and analyze structured and unstructured data. Develop algorithms, applications, and workflows, ensure data governance and integrity, collaborate with clients and stakeholders, and present actionable insights to inform decisions.

Senior Data Scientist supporting Intelligence Community operations. Build customized visualizations and analytic applications using Esri and Python, automate analytic workflows, apply AI/ML to structured and unstructured data, and clearly communicate technical results to stakeholders.

Lead development and deployment of scalable data science and ML solutions to detect and mitigate fraud, automate workflows, analyze behavioral signals, run experiments, build dashboards, and partner with stakeholders, legal, and compliance to measure KPIs and integrate models into decision systems.

Lead identification and delivery of high-impact data science solutions from concept to production using advanced analytics, machine learning, and deep learning. Collaborate with cross-functional stakeholders, prototype proofs-of-concept, and communicate insights to drive business decisions across Roche Diagnostics.