Top Senior Level Data Science Jobs in Rochester, NY
The Senior Manager in Data Science at PwC Intelligence will support service leaders to innovate and improve operations by conducting market analyses, developing new service offerings, enhancing capabilities, and mentoring team members. Key responsibilities include solving complex business problems, fostering open communication, and ensuring stakeholder needs are met.
As a Senior Manager at PwC Intelligence, you will lead a team to solve complex business issues, conduct market analysis, enhance service offerings, and support client engagements while fostering teamwork and trust. You will leverage your statistical knowledge and technical skills in areas like data analysis and machine learning to innovate and drive firm operations.
As a Director in the One Firm Risk Organization at PwC, you will lead a team that manages internal and external risk policies, compliance, and quality management. You'll analyze marketplace trends, support team development, and uphold the firm's ethical standards. The role requires strong technology knowledge and critical thinking skills to manage risks and create value propositions for stakeholders.
As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.
The Senior Director of Data Science will lead and develop the data science team, driving initiatives to leverage data for drug development efficiency and success. Responsibilities include mentoring team members, executing strategies for data utilization, providing technical guidance, ensuring data governance, managing projects, and fostering cross-functional collaboration.
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As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.
The Sr. Data Scientist at Empower is responsible for the entire model development process, including creating and enhancing credit risk models, partnering with various teams to implement solutions, and driving business growth through data-driven insights.
As a Staff Data Scientist at Upstart, you will identify and analyze issues with predictive models and their business impacts, present findings to stakeholders, conduct ad hoc analyses, and collaborate with the Machine Learning team to develop and evaluate models. You will also produce clear, well-documented code and play a key role in model performance evaluation.
As a Staff Data Scientist at Kyruus Health, you will leverage advanced data science techniques to produce insights that help healthcare customers make crucial decisions. Your role includes identifying business opportunities, deploying machine learning models, collaborating with engineers, and promoting best practices within the data science team.
The Senior Scientist will develop quantum chemistry algorithms, collaborating with cross-functional teams to create optimized quantum workflows and address real-world problems using IonQ's quantum computers, while building reusable software platforms.
The Data Science Manager at Garner will develop care navigation algorithms and analytics, while leading a team of 4-6 data scientists and analysts. Responsibilities include managing projects within the Data Science Guild and contributing to the healthcare mission by driving data-driven insights.
As a Senior Data Scientist at Pie, you will develop best-in-class AI/ML solutions for commercial insurance, focusing on pricing, underwriting, and claims models. Collaborating with multiple teams, you'll enhance data-driven decision-making, conduct model diagnostics, and support deployment and automation of scalable ML pipelines that meet real business challenges.
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