Top Senior Data Science Jobs

The role involves developing data strategies, designing data solutions, managing ETL pipelines, and leveraging AI/ML for business insights.

The Senior Data Scientist will prototype machine learning models, evaluate emerging technologies, collaborate with business stakeholders, and mentor juniors while working on AI and computer vision innovations.

The Lead Data Scientist will develop advanced analytical solutions for pricing and customer insights in pet insurance, mentor teams, and collaborate with stakeholders.

Design, build, and maintain data pipelines and ETL for program analytics; develop dashboards and visualizations (Tableau Server); apply data science methods and ML for program insights; collaborate with stakeholders and operate within an Agile framework.

Perform data collection, integration, modeling, analysis, and explanation to support federal law enforcement investigations. Build ETL/data pipelines and entity resolution, interface with customers, handle sensitive data, and contribute to R&D and shared capabilities while working on-site at government customer locations.

Senior individual-contributor owning product and growth analytics: define and measure funnel metrics (signup, activation, conversion, retention), design and analyze experiments, build predictive models (activation, churn, LTV), clean and warehouse product/billing events, create dashboards and writeups, and partner with growth, product, and founders to find and size high-leverage opportunities.

Lead the development and implementation of account-level CECL models and frameworks while collaborating with cross-functional teams to ensure accurate credit loss estimation and management insights.

Deliver end-to-end data science projects using machine learning and deep learning, collaborate with stakeholders, and support client engagement through analytical planning and solution design.

The Senior Data Scientist will lead data analytics projects, consult with clients, and develop data strategies and solutions, while managing a team and client relationships.

The Sr. Data Scientist in Aftersales Support develops predictive analytics and optimization solutions, models data processes, and collaborates on advanced reporting and dashboards.

The role involves leading advanced data science model development, collaborating with stakeholders, ensuring data quality, mentoring juniors, and staying updated on data science trends.

Lead data science projects to develop AI-powered chatbot systems. Collaborate with teams to ensure high-quality, scalable data solutions and mentor junior data scientists.

As Lead Data Scientist, you will define data strategy, build AI-powered tools, drive product analytics, and scale systems to support company growth.

The Senior Data Scientist will lead data science strategy, develop models for lead qualification, fraud detection, and underwriting, and collaborate with product and engineering to enhance financial products.

Lead a team of Data Scientists and Data Engineers to create data assets, reports, and insights, influencing Epic's product strategies.

Lead a team of Data Scientists and Programmers to create data assets, insights, and reports impacting product decisions in gaming.

The Senior Data Scientist will apply data manipulation principles to solve technical problems, support NATO force design, and strategic decision making through big data solutions and advanced technologies.

The Principal Data Scientist - Oncology will lead efforts in standardizing and connecting biomedical and clinical data through the development of scalable knowledge graph infrastructure and AI-Ready datasets.

Produce actionable insights through statistical analysis, experimentation, and behavioral modeling to optimize lifecycle marketing, segmentation, pricing, and monetization. Partner with stakeholders, Analytics Engineering, and ML teams to define data foundations, design A/B tests, build propensity and scoring models, document learnings, and mentor junior analysts. Incorporate agentic analytics to automate recurring analyses.

Design and implement advanced data science and ML models across online experience, marketing, merchandising, and store operations. Build scalable data models and pipelines, evaluate data quality, create visualizations, collaborate with cross-functional teams, and productionize analytics using reusable code and best practices.

Lead end-to-end data science within R&D: extract and analyze clinical and operational data, build and validate advanced ML/AI and LLM-integrated solutions, translate insights for stakeholders, mentor teams, and drive product innovation for Invisalign.

Design, deliver, and maintain revenue-optimizing analytics and optimization products. Identify commercial opportunities, build models (forecasting, RL, optimization), process large/unstructured data, coordinate stakeholders and IT, implement end-to-end solutions, and support Analytics team development.

Lead development of time-series and econometric models (ARIMA, VAR, state-space, WLS, panel data) and Bayesian probabilistic frameworks. Use causal inference and stochastic processes to produce actionable insights, work with large datasets on Databricks, communicate results to stakeholders, and mentor junior team members.

Lead a small-to-medium data science team to design, develop, and deploy advanced AI/ML solutions (especially LLMs/Transformer models), mentor junior staff, define methodologies and governance, collaborate cross-functionally, and set team strategy and high standards for model development.

Design and build scalable data pipelines and models to enable segmentation, attribution, real-time engagement, and analytics. Ensure data quality, governance, and GDPR/PII compliance while partnering with MarTech, analytics, and marketing teams to deliver production-ready datasets, event streams, and CDP functionality for customer journey orchestration.