Top Remote Senior Level Analytics Jobs in Rochester, NY

As a Senior AI Researcher at Cerence, you will architect and implement advanced generative AI models for ASR and TTS applications, optimizing large language models for accuracy and efficiency. You will collaborate with cross-functional teams to develop customized solutions and stay updated on the latest advancements in AI and language modeling.

The Head of Data will lead data-driven decision-making, oversee product data science and analytics, and collaborate closely with data engineers and scientists to enhance monetization, engagement, and retention. This role emphasizes hands-on involvement in problem-solving within a modern data stack, ensuring a world-class learning experience for customers.

The Senior Data Analyst will develop reports and data insights for Omada Health, focusing on app engagement, clinical outcomes, and data quality. Responsibilities include creating Tableau dashboards, conducting ad-hoc analysis, collaborating with various teams, and defining operational processes to enhance analytics and reporting capabilities.

The Manager of Database Administration leads global efforts in database management, ensuring hardware and software compliance, managing engineering staff, overseeing technology projects, and maintaining legal compliance. They will prioritize resource planning, track projects, and optimize database platform delivery across various teams.

As the Manager of Data Exchange Support, you'll lead efforts to enhance data exchange operations with a 24/7 support model. Responsibilities include managing KPIs, improving observability through automation, handling root cause analyses, collaborating with cross-functional teams, and ensuring excellent customer service. You'll also manage a team of specialists and oversee disaster recovery planning.

As a Staff HR Analyst, you will analyze and visualize HR data to align with strategic goals, support talent strategies, improve processes, and provide insights to HR leaders and stakeholders. Responsibilities include data collection, reporting, HR systems optimization, workforce planning, and supporting continuous improvement initiatives within the HR team.

The Data Science Manager will lead a high-performance team of data scientists to influence growth and user retention through actionable insights. Responsibilities include mentoring team members, driving data-driven decision-making, and collaborating with engineering and product teams to enhance user experience. The role also involves communicating complex findings to diverse stakeholders and fostering an inclusive team culture.