Top Data Science Jobs

Lead development of data science models, mentor junior scientists, ensure data quality, and collaborate with stakeholders on requirements.

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.

As a Senior Data Scientist at Omnissa, you will lead the data science team to innovate AI/ML solutions, develop advanced analytics models, and collaborate on integrating machine learning into core platform features.

Lead analytics and forecasting for the Fortnite ecosystem: maintain core reporting, build time series forecasts and department-wide data models, perform executive analyses, ensure data quality, support self-service pipelines, and collaborate with engineering and product to drive data-driven decisions.

Lead analytics to inform Finance and Product for the Fortnite ecosystem. Maintain core reporting and forecasting, build time-series models, develop shared data models, perform executive analyses, ensure data quality, support self-service pipelines, and collaborate cross-functionally to improve data-driven decision-making.

The Sr. Data Scientist will design and optimize intelligent search solutions using Elasticsearch and GenAI technologies, improving data retrieval and search relevance for enterprise applications.

The Sr. Data Scientist will design and optimize intelligent search solutions using Elasticsearch and GenAI technologies, engaging with customers to implement effective AI-driven search strategies and improve decision-making outcomes.

As a Data Scientist at Wayve, you will generate actionable insights using causal methods and statistical frameworks to support AV product teams, focusing on complex data analysis and experimental techniques.

Design and implement quantitative behavior metrics for autonomous vehicles, build and maintain data pipelines and dashboards, analyze large-scale vehicle logs and simulation data to identify regressions, set metric thresholds to support geofence expansion, and communicate findings to technical and non-technical stakeholders.

The Senior Data Scientist leads data-driven initiatives, optimizing analytics for business decisions, mentoring staff, and ensuring data quality across healthcare projects.

The Principal Data Scientist will design, develop, and deploy machine learning models, innovating methodologies and collaborating across teams to enhance financial decision-making and risk management.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

Hands-on senior individual-contributor data scientist who builds, deploys, monitors, and maintains production-grade ML models (forecasting, regression, classification). Partners with investment and business stakeholders to translate ambiguous problems, deliver scalable MLOps solutions on cloud (GCP preferred), author reusable libraries, and raise engineering and modeling standards across the team.

Lead development of Vanta's business analytics function: build scalable product data assets, define measurement frameworks, use AI-assisted analytics, partner with cross-functional teams, and deliver executive-level recommendations to drive product and business decisions.

Lead design, develop, and deploy data-driven solutions to improve justice process efficiency and safely reduce jail populations. Perform EDA, build descriptive and predictive models, deploy and monitor ML systems, create reproducible Python/R/SQL workflows, produce policy briefs and dashboards, and coordinate with agencies, nonprofits, and community stakeholders to align research with operational needs.

Lead analytics effort to collect, clean, integrate, analyze data and build/monitor predictive models (including recommendation systems). Partner with stakeholders, mentor data scientists, perform EDA, root cause analysis, and consult on analytics-driven strategies.

Lead growth-focused analytics by designing experiments, building LTV/retention models, running causal A/B tests, creating dashboards, and translating data into product and business recommendations across cross-functional teams.

Lead a workstream on enterprise marketing measurement: design experiments and models (MMM, incrementality, attribution), run large-scale analyses, deliver production-grade solutions, present findings to senior stakeholders, and mentor junior data scientists.

Lead end-to-end analytical design and validation for Signals, Forecasting, Simulation, Predictions, and Cohort Detection. Develop causal inference, time-series forecasting, survival/retention, and clustering methods; document assumptions and validation; partner with engineers to productionize models; ensure statistical rigor, significance correction, and trustworthy outputs that translate into clear product experiences.

Lead development of scalable analytic solutions that transform complex intelligence data into actionable insights. Design and implement data pipelines, automation, data models, visualizations, and production-ready Python tools. Provide technical leadership, rapidly prototype solutions, and collaborate with multidisciplinary IC teams to modernize analytic workflows and support operational decision-making.

As a Senior Data Scientist, you will develop and manage production-grade forecasting systems for financial metrics, collaborating across teams to improve accuracy and stability while mentoring peers.

Lead development, monitoring, and enhancement of credit risk models and loss forecasting. Extract and prepare large datasets, perform EDA, build pipelines and dashboards, automate reporting, and provide actionable insights to stakeholders. Maintain audit-ready documentation and participate in governance, validation, and scenario/stress analyses to manage portfolio risk.

The Principal Data Scientist will adapt complex statistical concepts for executive decision-making, lead communication standards within the data science organization, and represent Databricks at industry events. Responsibilities include mentoring, producing strategic insights, and advancing scientific methodologies.

The Principal Data Scientist develops predictive models, designs large-scale data pipelines, and collaborates to enhance data-driven decision-making using advanced analytical algorithms.

Consult as a fractional data scientist for hedge funds, private equity firms, and family offices. Lead data science initiatives: build infrastructure, develop and deploy models, create portfolio dashboards, monitor post-deployment performance, and partner with investment teams to turn data into actionable investment insights. Advise on vendor selection, data quality, technology stacks, KPIs, and governance.