Top Analytics Jobs in Rochester, NY

The Senior Credit Analyst will be responsible for building pricing models, ideating on pricing structures, implementing data tracking for lending projects, modeling product performance, and optimizing profitability in collaboration with cross-functional teams. The role requires extensive experience in analytics, financial analysis, and credit risk analysis.

The Payment Operations Analyst at Conduit Technology will manage client transactions, ensure compliance, reconcile client accounts, develop financial processes, and participate in special projects. The role requires strong analytical skills, attention to detail, and the ability to work during Eastern Time hours.

The Management Analyst will provide programmatic and technical assistance to the Army Protection Division, focusing on drafting and staffing documents, analyzing trends, preparing reports, and ensuring effective communication across various levels of the Army. The role involves administrative support, meeting coordination, and integration of protection-related functions into Army strategic documents.

The Director of Business Development will lead client relationships focusing on data and AI. Responsibilities include optimizing services, crafting proposals, and engaging C-level clients. The role involves strategic development and execution of business opportunities, alongside collaboration with internal teams to drive innovation and maintain client satisfaction.

This role involves applying analytics to improve sales, margin, and profit performance in merchandising. Responsibilities include delivering analytical support, developing reports, enhancing reporting effectiveness, and collaborating with marketing teams to create customer-centered solutions.

The Applied Scientist will apply advancements in AI technologies such as LLMs, CV, and NLP within the estate planning sector. Responsibilities include fine-tuning and integrating AI models, building Q&A frameworks, and collaborating with engineers to enhance AI quality in production systems.

The Vice President of Data Science Research leads the research organization in developing innovative methods for cancer screening, manages resources and staff, fosters collaboration, and aligns team objectives with company goals, leveraging extensive experience in data science and machine learning.