Top Remote Senior Level Data Science Jobs in Rochester, NY

As a Senior Data Scientist at Rocket Money, you'll build machine learning-driven features in collaboration with engineering, product, and design teams. You'll also optimize product feedback loops, develop automation for budgeting tools, construct customer segmentation models, run experiments to gauge impact, and ensure accuracy in transaction categorization systems. You'll lead projects, drive strategy, and focus on enhancing customers' financial experiences.

Develop predictive models and machine learning algorithms to optimize financial processes. Conduct exploratory data analysis to identify patterns, collaborate with teams to design analytical solutions, and build the Data Analytics function as the company expands.

As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.

The Senior Revenue Operations Analyst at Apptegy will analyze performance data, develop forecasts, and collaborate with sales and client success teams to refine methodologies for client health scoring and commission structures, driving revenue growth and operational effectiveness.

The MySQL DBA will manage and optimize MySQL databases, ensuring performance, security, and availability. Responsibilities include installation, monitoring, backups, disaster recovery, and collaboration with developers for query optimization.

The Senior Software Engineer will lead or collaborate on the design, development, and deployment of software features, ensuring clean, reusable coding standards and effective problem-solving with clients. This role involves improving code architecture and maintaining high-quality documentation.

The Senior Analyst, Revenue Operations at Blink Health will lead Salesforce platform management including administration, customization, and integration. Responsibilities include enhancing system performance, ensuring data integrity, implementing process automation, and developing advanced reporting and analytics to drive operational excellence and support business strategy.