Top Data Science Jobs

Lead dataset creation, feature engineering, and predictive-model development for agentic AI products. Build RAG data pipelines and evaluation frameworks, apply rigorous statistical and causal-inference methods, and collaborate with product, engineering, and platform teams to integrate reliable model tools into agent systems.

Design and implement data science workflows and data mesh pipelines to support C-UAS detection, tracking, classification, and decision-support. Develop ML/statistical models for anomaly and threat assessment, build cloud/hybrid data platforms and interoperable pipelines, enforce data tagging and governance, create visualizations and dashboards, mentor junior staff, and ensure mission-ready, secure analytics for real-time operations.

Lead development, validation, deployment, and optimization of predictive models and analytics. Partner with claims, underwriting, actuarial teams to transform complex datasets into actionable insights, ensure data quality and compliance, and communicate results through visualizations. Advance data science capabilities across the organization.

The Senior Data Scientist will develop, validate, and operationalize AI models for diagnosing complex diseases, enhance data analysis processes, and establish MLOps infrastructure while leading data-driven initiatives.

Lead end-to-end data science projects including predictive modeling, algorithm design, and data pipelines. Build campaign-focused models (turnout, partisanship), perform exploration and visualization, translate insights into memos/presentations, collaborate with engineering to productionize models, mentor junior data scientists, and prototype emerging AI solutions for product impact.

The Senior Data Scientist will develop metrics for evaluating autonomous vehicle performance, analyze data, collaborate across teams, and communicate findings to improve safety and passenger experience.

The Senior Data Scientist will architect analytical frameworks, develop metrics, influence product strategies, and ensure data quality for product intelligence.

Design, build, validate, and deploy predictive models using Python and SQL. Apply causal inference, A/B testing, matching models, and AutoML to evaluate interventions. Partner with product and engineering to deliver scalable analytics, ensure data quality and model performance, and communicate insights to stakeholders.

As a Senior Data Scientist, you will lead modeling initiatives, build forecasting systems, and mentor team members while collaborating with Finance, Product, and Sales teams.

Lead development and implementation of advanced data science models, collaborate with stakeholders, ensure data quality, drive best practices, mentor junior scientists, and stay current with data science trends.

Lead development and implementation of advanced data science models to manage fraud risk across payments. Collaborate with stakeholders, ensure data quality, monitor portfolio health, mentor junior scientists, and present insights to senior leaders to drive mitigation strategies and optimize fraud outcomes.

The Senior Data Scientist will analyze data to support product features, conduct quantitative research, and collaborate with cross-functional teams to enhance creator monetization efforts.

Own end-to-end data science for a priority vertical (starting with Insurance): frame business problems, build and validate models, partner with ML engineering for deployment, monitor live ROAS performance, and drive measurable revenue and lead quality improvements.

As a Senior Data Scientist at Haystack News, you will utilize statistical analysis and machine learning to enhance user engagement and retention, impacting product success.

The Lead Data Scientist leads data science initiatives to enhance decision-making and systems development, managing complex models and enterprise operations, while building client relationships and integrating best practices.

The Principal Data Scientist will lead the development of AI-powered data science tools, collaborating with cross-functional teams to enhance clinical research and optimize trials. Responsibilities include designing scalable solutions, ensuring software reliability, and communicating insights effectively.

Lead the development of appraisal and pricing capabilities using data science to automate valuation decisions. Collaborate across teams for insights into pricing and operational strategies.

As a Senior Data Scientist in Monetization, you'll lead data product development, conduct strategic analysis, build models, track success metrics, and mentor junior data scientists.

The Principal Data Scientist will create scalable data solutions and machine learning models, collaborating with teams to drive innovation in the financial industry.

As a Senior Data Scientist, you will conduct statistical modeling, exploratory data analysis, and collaborate with product and engineering teams to integrate data science projects.

Lead the technical strategy for search and recommendation systems, develop models, and improve business outcomes through data science expertise.

Develop and maintain predictive models and data pipelines for player evaluation, acquisition, development, and performance optimization. Communicate findings via reports and visualizations, collaborate with Baseball Systems to integrate analytics, drive applied research, and introduce novel methodologies to improve Baseball Operations decision-making.

The Data Scientist collaborates with stakeholders to develop machine learning applications, analyze data, and enhance team operations, improving processes with data-driven insights.

The Senior Data Scientist will lead research using historical data, solve market-impact problems, design research tools, apply AI/ML in finance, mentor others, and integrate models into production systems.

Lead Data Scientist responsible for designing data-driven solutions, leading a team, and collaborating with cross-functional teams to utilize AI for business improvement.