Top Data Science Jobs in Rochester, NY

The Senior Data Scientist will develop machine learning models, collaborate with cross-functional teams, and help improve credit risk assessments to drive business growth.

As a Senior Data Scientist, you'll develop and deploy machine learning solutions for advertising measurement products, collaborating with various teams to enhance capabilities and performance.

As an Optimization Scientist, you will leverage AI and mathematical modeling to develop and deploy optimization models in collaboration with interdisciplinary teams, ensuring efficiency and scalability for real-world problems.

The Senior Data Scientist will own investigation and analytics to combat blockchain fraud, developing models and visualizations for law enforcement agencies. Responsibilities include collaborating with engineers, staying updated on blockchain developments, and establishing best practices for data-driven decision-making.

As a Staff Data Scientist in Performance Marketing, you will optimize marketing decisions using predictive modeling, budget allocation, and audience targeting strategies, contributing to growth and retention for Quince.

Design and build recommendation and personalization systems, conduct A/B testing and causal inference, and mentor the data team in best practices.

Lead Data Scientist responsible for enhancing user experience and product efficiency through data analysis, ML modeling, and collaboration across teams. Mentors others and drives innovation in real-world applications.

Lead the Data Science and Analytics team to optimize vehicle supply, enhance rider experience, and improve operational efficiency through machine learning and data analysis. Oversee A/B testing and promote a data-driven culture while mentoring team members.

As a Senior Data Engineer, you'll design scalable data pipelines, ensure data quality, collaborate with teams, and build data solutions using various technologies.

As a Quantitative Researcher, you will develop systematic strategies using alternative datasets, design and backtest predictive models, and collaborate with cross-functional teams to enhance investment decision-making.