Data Scientist I Job at University of Rochester (Rochester)

Job Description

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 Responsibility

With general supervision and guidance, participates in the design, implementation and dissemination of advanced analytics and data science projects
Supports the team in providing data analysis and insights to stakeholders to enable data-driven clinical projects and decision making
Works with senior team members to translate complex data into insights and compelling stories
Presents data models, analyses, and visuals (including dynamic visuals such as dashboards) to internal and external stakeholders
Engages with stakeholders to identify needs and opportunities for analytics support
Works with project director and end-users to understand project requirements
Understands underlying clinical and operational requirements and formulates, designs, and executes analytical solutions to support them
Develops advanced analytics to address complex problems
Develops preliminary analyses and prototypes independently
In collaboration with senior team members, analyzes and models structured data and implements algorithms to support analysis using advanced statistical and mathematical methods
Develops and implements robust, reproducible processes to prepare, extract, and enrich a variety of structured and unstructured data sources
Develops and deploys applications to address business and clinical needs
Provides scalable solutions and collaborates on dissemination efforts
Creates and implements data science solutions to support analytical efforts and expand dashboard capabilities
Works with senior team members to develop and manage project plans
Executes and evolves project plans
Develops machine learning (ML) capabilities
Designs and develops prototypes of data models, ML pipelines, dashboards, and reporting
Cultivates new data sources to offer insights and analyses needed for research and decision-making
Develops new data sources from structured and unstructured data
Writes, tests and deploys queries and/or API connections to internal and external databases
Cleans and manipulates data so that it is in a usable format for others
Designs and builds data marts and data warehouses to support advanced reporting scenarios
Links data from multiple sources and stores it in a format that is easy to query
Maintains current knowledge base and expertise relative to the technology and software used by related to the EHR and functional areas being supported
Other duties as assigned

Requirements

Bachelor's degree in data science, math, information science or related fields required
OR Bachelor’s degree in an unrelated field plus 3 years relevant experience required
Master's degree in data science, math, information science or related fields preferred
or equivalent combination of education and experience 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 oral and written communication and presentation skills, including the ability to describe data science concepts to lay/nonexpert audiences preferred
Considerable experience with relational databases preferred
Proficiency with Python (or R), including common machine/deep learning libraries and their implementation preferred
Fluency with data visualization tools, such as Tableau, Spotfire or PowerBI preferred
Ability to work independently and successfully complete assigned tasks on time with limited oversight required

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Data Scientist I

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