Top Senior Data Scientist Jobs

Develop and implement machine learning models for cybersecurity risk assessment and threat intelligence while collaborating with cross-functional teams.

Develop data science solutions leveraging machine learning and statistics, conduct data analysis, and collaborate across teams to optimize data insights in healthcare domains.

Lead manufacturing analytics and Unified Namespace efforts: harmonize OT and enterprise data, build semantic/analytical models and real-time KPI dashboards, enforce data quality and GxP compliance, enable cross-functional analytics, and deliver tooling and CI/CD practices.

The Senior Data Scientist will architect and implement data science solutions, mentor team members, and apply advanced analytics for national security operations.

Build, deploy, and monitor ML models on large-scale healthcare claims data. Conduct exploratory analysis, collaborate with engineering to productionize models and data products, communicate results to stakeholders, and contribute to data pipelines and warehouse development.

The role involves developing data analytics solutions, visualizations, and mentoring junior staff for intelligence community projects.

The Sr. Data Scientist leads risk strategy to reduce losses by developing data science models, collaborating with stakeholders, and ensuring data quality. Responsibilities include mentoring junior team members and driving best practices in data science.

Responsible for measuring servicing and risk metrics, leveraging analytics to enhance customer experience, mentoring junior members, and ensuring data-driven decision-making in a big data environment.

Lead development and deployment of advanced data science models to analyze partner-specific chargeback and risk performance for PayPal World. Collaborate with stakeholders, ensure data quality, drive best practices, mentor junior data scientists, and support performance discussions and remedial actions to manage wallet risk.

The Senior Data Scientist will design, develop, and own machine learning systems for document verification focusing on computer vision and deep learning. Responsibilities include technical leadership, engaging with customers, and collaborating with engineering and product teams.

This role involves gathering and analyzing structured and unstructured data, developing machine learning models, and mentoring junior data scientists. Responsibilities include model deployment, risk management, and engaging with IT for production readiness, while maintaining expertise in data science techniques.

The Senior Manager AI and Data Scientist will architect, develop, and maintain scalable AI solutions, drive product development, ensure regulatory compliance, and lead cross-functional teams to implement AI-driven insights in pharmaceutical R&D.

Develop and support Honeywell's Voice Enterprise software using Agile methodologies. Responsible for end-to-end application life cycle, including cloud migration and mentoring junior team members.

Lead the data discipline for Wolf Games by designing a scalable data ecosystem that drives AI systems and enhances player experiences.

The Senior Data Scientist will support U.S. government contracts by developing machine learning algorithms, conducting advanced data analysis, and leading a team of data scientists. Strong collaboration with software engineers and subject matter experts is essential to develop production analytics for mission-critical applications.

Lead development and operationalization of LLM, agentic, and image AI solutions for diagnostics. Build multimodal datasets, implement RAG and agent workflows, apply ML and statistical methods (DoE, Bayesian optimization, causal/survival/longitudinal), analyze RWE/RWD, and integrate insights across clinical, regulatory, and product teams to drive diagnostic and business impact.

The Senior Data Scientist will lead analytical projects, develop bespoke solutions for clients, manage teams, and present findings to drive client satisfaction and retention.

Design and deploy ML and NLP models (including LLM evaluation) to predict borrower risk and property valuations, advise business teams, mentor junior analysts, and foster data-driven experimentation.

Lead data-quality and labeling efforts for perception ML: implement scalable quality measures, drive data-centric model improvements, maintain ontology/class structure, evaluate human vs auto-labeling trade-offs, and build metrics for labeling throughput and annotator/vendor quality.

Conduct deep-dive analyses on large ad datasets to inform R&D, improve ML and bidding systems, detect/mitigate ad fraud, and define campaign health metrics and monitoring frameworks.

Lead design and delivery of end-to-end ML systems using advanced statistics, causal inference, and deep learning; deploy models on cloud and big-data platforms; define data strategy and governance; lead AI evaluation and MLOps practices; rapidly prototype solutions and translate business needs into scalable technical deliverables.

Lead development and operationalization of LLM, agentic, and image AI solutions for diagnostics. Build multimodal datasets, develop production-grade models and RAG/agent pipelines, perform RWE analytics, and integrate insights across clinical, regulatory, R&D, and product teams to drive diagnostic performance and patient impact.

Lead development and operationalization of LLMs, agentic and image AI solutions; build multimodal datasets; develop production-grade models, RAG pipelines and agent workflows; run RWE analytics and Bayesian optimization for assay/R&D acceleration; deploy solutions on Azure/Snowflake/Databricks and integrate insights into clinical, regulatory, and product programs.

As a Senior Data Scientist, you will engineer solutions using AI, build scalable ETL pipelines, and work with complex data analysis, mentoring others in the process.

The Sr. AI & Data Scientist develops and deploys AI/ML solutions in healthcare, driving technical excellence and mentoring others to enhance outcomes for Medicare Advantage members.