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

As a Data Scientist at BrightAI, you will extract insights from complex datasets using statistical analysis and machine learning. Responsibilities include developing predictive models, visualizing data, collaborating with teams for deployment, and adhering to data governance standards while staying updated with data science advancements.

Oscar is hiring a Senior Manager, Data Science to lead a team of data scientists in leveraging data for enhancing healthcare services. Responsibilities include translating business goals into plans, managing a team, and collaborating with cross-functional teams. The role offers a salary range of $174,400 - $228,900 per year and is based in New York City, Tempe, or Los Angeles with remote options available for residents of specific states.

Seeking a Sr. Data Scientist to lead the development of measurement models for marketing stakeholders, conduct in-depth analyses, design experiments, and optimize marketing campaigns. Collaborate with cross-functional teams to achieve marketing goals and enhance marketing measurement capabilities.

Support the Data Migrations Profession Services Teams, engage in complex debugging and remediation, build solutions, automate issue detection, contribute to migration improvements, participate in On-Call schedule rotation, write data defect reports, participate in Code Reviews and Lessons Learned sessions.

The Senior Analytics Manager at BlueLabs will oversee complex quantitative research workstreams and develop new data-driven solutions for a major commercial client. They will lead a team of analysts, provide strategic insights, and ensure project quality meets standards. This role requires 5+ years of experience in advanced analytics leadership and 2-3 years of project management experience.

The Sr. Oracle Database Administrator is responsible for maintaining, securing, and optimizing Oracle databases for the Asset Suite 9.6 system. Key tasks include implementing backup strategies, ensuring database availability, performing routine maintenance, and conducting audits. The role involves collaboration with system administrators to uphold database integrity and security.

Design and implement enterprise-wide data strategies, manage data engineering assets, collaborate with cross-functional teams, ensure data integrity and security, develop data models, and lead data governance initiatives.