Top Remote Data Science Jobs in Rochester, NY

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

The Data Scientist II at Coinbase will perform data analysis on products, design experiments, and maintain key metrics to drive product improvements while collaborating across teams.

The role involves leading pricing experimentation, developing pricing models, analyzing data, and collaborating with stakeholders to optimize pricing strategy.

Conduct analyses on ambiguous problems, guide data ownership, and maintain statistical rigor while influencing stakeholders through data storytelling.

As a Staff Data Scientist in AI Products, you will drive AI/ML capabilities, influence product strategy, and collaborate with various teams to enhance data foundations.

The Senior Data Scientist will develop predictive models, analyze data for trends, and propose solutions to enhance marketing strategies using advanced statistical methods.

The Senior Data Scientist will manage and evolve critical predictive models to inform business strategies and support executive decisions while collaborating with cross-functional teams.

Lead the data science team in developing and deploying advanced machine learning models to improve decision-making and efficiency. Collaborate cross-functionally while mentoring staff and managing the data science function.

Responsible for analyzing crypto-related data, mentoring a data team, and collaborating on blockchain research to enhance Circle's products and security.

As a Data Scientist at Deepgram, you'll tackle complex audio data challenges, develop scalable data pipelines, and collaborate with teams to advance voice AI technologies.

As a Senior Staff Data Scientist, you'll define data strategy, mentor team members, advance experimentation practices, and collaborate with various teams to enhance product and business metrics.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.