Top Remote Data Science Jobs

The role involves building Marketing Mix Models, analyzing geo-based experiments, creating measurement infrastructure, and communicating insights to stakeholders.

Responsible for designing and operationalizing advanced data science and AI solutions for insurance, including model deployment and data pipeline development.

The Sr. Data Scientist will design, develop, and deploy AI models and tools, mentor teams, and drive data-driven insights while collaborating with cross-functional teams.

As a Principal Data Scientist, you'll develop ML systems, improve models, collaborate cross-functionally, and drive innovation in recommendations.

Lead experimental design and strategic research to drive user growth for Yahoo Mail. Collaborate with product, design, and engineering to run A/B and multivariate tests, build predictive and ML models, analyze large-scale data, and present actionable insights 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 Lead Data Scientist will drive data strategy, build predictive models, analyze healthcare datasets, and collaborate with teams to improve clinical outcomes.

Partner with Membership to build data pipelines, ensure membership data quality, and develop predictive models (churn, retention, LTV). Design and analyze experiments, create dashboards, and collaborate with Marketing, Finance, and Product to optimize pricing, offers, and lifecycle programs.

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

As a Senior Data Scientist, you will leverage statistical modeling and machine learning to optimize ad-related projects, collaborating with various teams to drive impactful product decisions and metrics measurement.

The Data Scientist will develop and maintain predictive models to support business decision-making, working with large datasets and ensuring model performance and reliability in production environments.

The Senior Data Scientist will work cross-functionally to build and deploy machine learning models, analyze product data, and mentor junior staff.

Develop and deploy data solutions, collaborate on model optimization, communicate findings, and write scalable code in a data science context.

The Senior Data Scientist will develop machine learning systems for fraud prevention, contribute to data pipelines, and mentor junior data scientists. This role involves working with complex data signals and collaborating across teams.

The Senior Data Scientist will lead model development and analytics, collaborate with teams on complex projects, and innovate modeling practices in insurance analytics.

Lead data science efforts for the Rentals Shopping pillar, driving strategy, modeling, experimentation, and cross-functional collaboration to improve user experience and business performance.

Lead data science efforts to define metrics, build models of user and business behavior, design and analyze A/B tests, develop LLM-driven applications, maintain analytics and a data lakehouse, create dashboards, and partner cross-functionally to deliver actionable insights that drive product and business decisions.

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 Senior Data Scientist will design and implement data science solutions, collaborate with stakeholders, and integrate models into production. Responsibilities include statistical modeling, data analysis, and experimentation in automotive care.

As a Senior Principal Data Scientist, lead the application of machine learning and AI for ad measurement, optimizing advertiser outcomes through complex model and pipeline development, experimentation, and reinforcement learning systems.

The Senior Data Scientist will develop predictive models, enhance algorithms, and collaborate with stakeholders to implement AI products while ensuring data quality and model performance.