University of Rochester

Healthcare

DataScientist

$70–105k Rochester, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Scientist at University of Rochester. Skills: Data Science, Analytics, Machine Learning. Design, implement, and disseminate advanced analytics and data. Advise key stakeholders to provide analysis and insight”

Industry & Context.

Healthcare
Problems you'll solve

Creative solutions; Complex problems; Break down complex problems

What They're Looking For.

Must Have

Bachelor's degree in Accounting, Data Science, Information Science, or other relevant field, 2 years of relevant experience

Nice to Have

Master's degree preferred, Excellent verbal and written communication and presentation skills, Ability to describe data science concepts to lay/nonexpert audiences

What You'll Do.

and disseminate advanced analytics and data

Advise key stakeholders to provide analysis and insight

Support the development and evolution of advanced statistical

Support the development and evolution of machine learning

Solve complex problems in partnership with team members

scalable analytic solutions

Implement analytic solutions efficiently and effectively

Complete periodic costing on a timely basis

Develop and maintain detailed analysis of statistics used

Allocate overhead expenses to patient care areas

Perform analysis and tests to ascertain integrity of

Complete reconciliation of financial statements to management reports

Provide cost analysis using costing software

Collaborate with the URMC Finance Teams in further

Support the data management process

Support costing and reporting tools

Ensure that all feeds are fed properly

Evaluate and become familiar with performance reporting protocols

Write or assist in writing procedures that control

Support and serve as backup for the Decision

How You'll Work.

Team & Collaboration

Key stakeholders; Team members; URMC Finance Teams; Decision Support System Administration; Decision Support Business Intelligence Team

Communication Scope

Verbal communication; Written communication; Presentation skills

Full 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 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 112 Compensation Range: $70,197.00 - $105,295.00 _The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job 's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations._ _**Responsibilities:**_ Designs, implements, and disseminates advanced analytics and data science projects. Works with and advises key stakeholders to provide analysis and insight to enable data-driven decision-making. Supports the development and evolution of advanced statistical and mathematical methods, including machine learning capabilities. Works in partnership with team members to solve complex problems, ensure robust, scalable analytic solutions and implement them efficiently and effectively access the enterprise. **ESSENTIAL FUNCTIONS** * In consultation with Manager and Sr Leadership: Completes periodic costing on a timely basis for incorporation into the global and chief reports. This includes, but is not limited to: * Develops and maintains detailed analysis of statistics used in cost process to allocate overhead expenses to patient care areas. * Performs analysis and tests

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