Top Senior Level Data & Analytics Jobs in Rochester, NY

The Strategic Planning Analyst will monitor and analyze inventory levels, ensure compliance with OEM contracts, collaborate with engineering teams to optimize aircraft planning, conduct cost comparisons, assist with special projects, manage ERP system accuracy, and develop inventory purchasing strategies based on performance analysis and KPI evaluations.

The Senior Data Scientist at Tubi will advance the company's experimentation platform by planning and executing experimentation strategies, enhancing statistical rigor, and providing insights to inform data-driven decisions. Responsibilities include designing tests, analyzing results, and collaborating with teams to measure the impact of initiatives.

As a Senior Data Scientist at VRChat, you'll collaborate with cross-functional teams to analyze product features and campaigns, conduct quantitative analyses, and deliver insights to drive strategic product decisions. You'll design metrics, perform root cause analyses, and create data visualizations, while leveraging your experience in data science to influence business outcomes in a remote work environment.

As a Senior Data Scientist at Amperon, you'll build and deploy advanced machine learning models for time series forecasting in the energy sector. You'll validate data, create forecasting features, and analyze consumption patterns to optimize energy distribution. Your work will directly impact sustainable energy solutions.

The eCommerce Analytics Manager will analyze data to generate actionable insights that drive growth and enhance customer experience. Responsibilities include reporting of key performance indicators, developing data tracking plans, and collaborating with data departments to optimize reporting and address anomalies.

The Data Analyst will oversee machine learning model development, create interactive dashboards, conduct data analysis for insights, and ensure data quality within the MEDCHART system. They will collaborate with stakeholders to meet model requirements and report findings efficiently.

The Staff Engineer will lead the design, development, testing, and maintenance of healthcare policy engines, ensuring high performance and optimal functionality. Responsibilities include collaborating with teams to explore data science opportunities, implementing predictive analytics, and driving improvements in system architecture.