Top Senior Level Data Science Jobs in Rochester, NY

As an Engineering Manager in the Machine Learning team, you will lead a group of data scientists and ML engineers to build innovative credit insights products. This role includes overseeing the development of machine learning models for credit risk assessment, defining strategic initiatives, and collaborating with stakeholders to enhance product delivery.

The Senior Manager of Data Science, Advertising will lead data science initiatives for Mozilla’s advertising efforts, focusing on data-driven decision-making and optimizing ad performance. Responsibilities include developing predictive models, analyzing datasets for insights, and collaborating with product and engineering teams to enhance advertising strategies while maintaining user privacy.

The Senior Applied Research Scientist will develop novel radiotherapy algorithms and analytical dose calculation algorithms. Responsibilities include technical ownership, creating new radiotherapy products, testing algorithms, and communicating with both research and product teams to develop solutions that enhance cancer care.

The Data Scientist will collect data, apply analytical and statistical methods to extract insights, and create visualizations for stakeholders. The role requires working with various data tools and managing data warehouses to ensure effective data integration and analysis.

Conduct high-level research on forest carbon dynamics, lead projects for enhancing carbon storage, analyze data using statistical and GIS tools, collaborate with stakeholders for conservation strategies, write grant proposals and reports, lead field teams in data collection, engage with carbon market stakeholders

The Senior Speech Scientist will design and deliver customer experience solutions by developing grammar for speech-enabled IVR applications, acting as a subject matter expert in speech recognition, and supporting sales with relevant proposals.

As a Staff Data Scientist at SentiLink, you will be responsible for building fraud detection models, researching new fraud types, and developing products for financial risk. This role requires strong technical abilities, model development skills, and the ability to work across teams to inform sales and marketing initiatives.