Data Scientist II

$70,197 - $105,295/Yr

University of Rochester - Rochester, NY

Full-time - Mid Level

Rochester, NY

Educational Services

About the position

The Data Scientist II at the University of Rochester is responsible for designing, implementing, and disseminating advanced analytics and data science projects. This role involves collaborating with key stakeholders to provide insights that enable data-driven decision-making, while also supporting the development of advanced statistical methods and machine learning capabilities. The position operates with significant autonomy and requires strong analytical skills to solve complex problems and implement scalable analytics solutions across the enterprise.

Responsibilities

• Leverages data virtualization to build and maintain automated reporting solutions, enabling seamless access, integration, and transformation of data from multiple sources.
• Develops clinically meaningful data assets to aid in the evaluation of ongoing projects and collaborates with IT groups to integrate these assets into the broader data ecosystem.
• Performs analyses of ongoing projects to ensure targets are met and identifies areas for improvement, providing results to key stakeholders.
• Engages with stakeholders to understand their needs and translates these into well-defined analytical problems, leveraging expertise in data science techniques.
• Designs and implements interactive data visualizations and dashboards that present scholarly productivity metrics from diverse data sources.
• Conducts ad hoc analyses addressing critical business questions and provides recommendations, ensuring understanding and follow-up with stakeholders.
• Performs ongoing validation of data/analytical products to ensure accuracy.
• Engages in continuing education to maintain current knowledge of technology and software related to EHR and functional areas.

Requirements

• Bachelor's degree in Data Science, Math, Information Science or related field required.
• 2 years of relevant experience required, or equivalent combination of education and experience.
• Strong analytic, qualitative, and quantitative data analysis skills, with the ability to break down complex problems into phased deliverables required.
• Strong foundational experience in statistical concepts and methodologies, including regression analysis, time series analysis, multivariate analysis, and experimental design preferred.
• Proficiency in SQL preferred.
• Working knowledge of Python (or R), including common machine/deep learning libraries preferred.
• Knowledge of Epic data models preferred.
• Fluency with data visualization tools, such as Tableau, Spotfire or PowerBI preferred.
• Excellent verbal and written communication and presentation skills, including the ability to describe data science concepts to lay audiences preferred.
• Strong attention to detail required.
• Ability to think creatively to develop solutions to complex problems required.

Nice-to-haves

• Master's degree preferred.
• Strong foundational experience in statistical concepts and methodologies preferred.
• Knowledge of Epic data models preferred.