Top Remote Senior Level Data & Analytics Jobs in Rochester, NY

Seeking a Senior Provisioner with 3-5 years of telecom experience to manage telecom orders, coordinate service installations, and communicate with clients and vendors for timely and accurate service delivery of Voice and Data telecom services.

The Sr. Data Scientist will manage projects involving clinical data analysis, develop algorithms for real-world data insights, and collaborate with various teams to drive advancements in cancer care. Responsibilities include data wrangling, pipeline engineering, and supporting product development.

As a Senior Product Analyst, you will provide actionable insights, conduct product analytics and advanced analytics projects to support ecommerce brands. Responsibilities include preparing data for modeling, applying statistical analysis, and collaborating with stakeholders to define business questions and metrics.

The Application Systems Analyst aids businesses in achieving their goals by evaluating, designing, and developing full stack application systems. Responsibilities include developing applications on FileMaker, consulting with management, creating application specifications, overseeing implementation, diagnosing errors, and managing reported incidents.

The Data Analytics Architect leads the design and administration of a federal customer’s data analytics suite. Responsibilities include working primarily with Splunk and Cribl in cloud environments, optimizing data storage configurations, and collaborating with teams on security content requirements for SOC operations.

Lead the Data Science team, developing AI models and statistical systems while collaborating with cross-functional teams. Drive research and data strategies that enhance product effectiveness and farmer profitability.

The Senior IMS Mainframe DBA will create, maintain, design, and troubleshoot client databases, focusing on IMS environments. Responsibilities include database software upgrades, daily maintenance, backups, monitoring, performance optimization, and on-call support. They will collaborate with vendors and develop best practices for database management, ensuring security and efficiency.