Sr Data Scientist

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.

Job Location (Full Address):

135 Corporate Woods, Rochester, New York, United States of America, 14623

Opening:

Worker Subtype:

Regular

Time Type:

Full time

Scheduled Weekly Hours:

40

Department:

900130 URMC Finance Decision Support

Work Shift:

UR - Day (United States of America)

Range:

UR URG 114

Compensation Range:

$86,482.00 - $129,723.00

Responsibilities:

Provides specialized depth and breadth of expertise in the design, implementation and dissemination of advanced financial and operational analytics and projects. Works with and advises key stakeholders to provide analysis and insights to enable data-driven decision-making. Provides leadership and mentorship in the development and evolution of advanced statistical and mathematical methods, including machine learning capabilities. Works in partnership with, and provides guidance to, team members solving complex problems to ensure robust, scalable analytics solutions and implementing them efficiently and effectively across the enterprise.

Essential Functions:

• Design and build reports, including data visualizations, using complex logic and multiple data sources.
• Integrate visual analytics into reporting to enhance customer ease of use and understanding of the data.
• Interpret customer business needs and translate them into application and operational requirements.
• Work with Senior Leadership, Department Chairs, the Director’s Office, and front-line managers to determine and interpret needs for new ongoing reports, ad hoc reports, and report enhancements.
• Thoroughly test reports and obtain user validation. Work in collaboration with individual customers to teach them: how to use the reporting platform, interpret and use the data in the report, and make customizations to the report based on individual reporting requirements.
• Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, abstract up from low-level information to a general understanding, and distinguish customer requests from the underlying true needs.
• Maintain data sources and visualizations. Review visualizations for potential enhancements, efficiency improvements.
• Other duties as assigned

Minimum Education & Experience:

• Bachelors required; Masters preferred
• 4 years of relevant experience required.
• or equivalent combination of education and experience

Knowledge, Skills & Abilities:

• Tableau and SQL required. R, Python preferred
• Considerable experience with relational databases required. 
• Strong attention to detail, ability to develop creative solutions to complex problems, and strong critical thinking skills required
• Strong analytic, qualitative and quantitative data analysis skills, with demonstrated ability to break down complex problems into phased deliverables required
• Excellent verbal and written communication and presentation skills, including the ability to describe data science concepts to lay/nonexpert audiences required

The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.