Top Data & Analytics Jobs in Rochester, NY

As a Principal Data Scientist II (AI), you will shape AI strategies and develop innovative AI solutions. Responsibilities include defining AI architecture, collaborating with data scientists, integrating AI capabilities across the platform, providing technical leadership, and driving product innovation.

The Compliance Analyst will enhance security compliance for Zoom for Government by validating vulnerability remediation, conducting security assessments, and serving as a liaison between agencies and internal teams. Responsibilities include improving documentation, tracking progress, and monitoring compliance effectiveness while addressing audit findings and reporting security incidents.

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.

The Senior Process Analyst will design and deliver transformation and continuous improvement roadmaps, focusing on optimizing global processes in finance planning and analysis. Responsibilities include facilitating workshops, performing gap analyses, documenting processes using BPMN, and driving adoption of transformations through effective stakeholder engagement.

As an Analytics Engineer at Beam, you will collaborate with various teams to enhance data usability and reliability, develop and maintain the data warehouse, and implement software engineering best practices in analytics processes.

The Data Analyst will work remotely to interpret and develop data project requirements, utilizing tools like Python, Excel, and SQL for data cleansing, analysis, and interpreting complex data issues. The role requires effective communication with both technical and non-technical clients and self-management in a fast-paced environment.

The Senior Analytics Engineer will lead the establishment of data infrastructure, design data warehouses, and build data models and ETL pipelines to enhance product analytics and user engagement. This role balances strategic design and hands-on implementation while collaborating with leadership to address business requirements and promote data literacy.