Top Remote Data Science Jobs in Rochester, NY

The role involves engineering consumer-level attributes, applying statistical techniques, building dashboards, and collaborating with various teams to enhance credit-related decisions based on data insights.

The role involves developing ML models for anomaly detection, time series forecasting, and predictive analytics for sewer infrastructure. Collaboration with engineering and data teams is essential to deliver insights effectively.

The Lead Data Scientist will build pricing systems, lead experiments, mentor teammates, and influence strategy across various departments based on data-driven insights.

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

As a Senior Data Scientist, you will drive product analytics and experimentation, develop metrics, and collaborate with cross-functional teams to inform strategic decisions.

As a Senior Data Scientist, you will analyze blockchain data, uncover insights, mentor peers, and collaborate to improve attribution models while addressing global security threats.

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.

As a Senior Data Scientist, you will lead advanced analytics product implementations, collaborate with teams to analyze blockchain data, and develop models to combat financial crime.

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 Senior Data Scientist will analyze large datasets, develop predictive models, create data processing workflows, and produce interactive dashboards to derive actionable insights for clients, collaborating with stakeholders and maintaining thorough documentation.

The Senior Data Scientist will focus on customer analytics, developing models for segmentation, retention, and experimentation to drive engagement and revenue decisions.

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.

Lead development and deployment of machine learning models for clinical and operational use cases. Perform data analysis, collaborate with program owners, propose solutions, follow software development and MLOps best practices, maintain deployed models, and communicate results to stakeholders.

The Senior Data Scientist will analyze data to enhance rider retention through experimentation and collaboration across teams. Responsibilities include defining metrics, delivering data-driven solutions, and conducting deep analyses on rider engagement.

The Sr. Cloud Engineer will develop and manage data pipelines, optimize cloud infrastructure, and collaborate with teams to implement new features, focusing on real-time machine learning and secure data storage solutions.

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 at Ensemble, you will develop advanced AI and machine learning models, focusing on generative AI and predictive analytics to improve healthcare outcomes.

Design, iterate, and productionize ML models for recommendation, ranking, routing, and monetization. Lead A/B testing and causal measurement, build dashboards and analytics, define metrics, collaborate with Product and Engineering, and scale ML/analytics infrastructure and model lifecycle management.

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

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.

Lead development and refinement of machine learning models for pricing and profitability. Collaborate with various teams, synthesize insights, and improve business outcomes while adhering to agile methodologies.