UMass Memorial Health · 15 hours ago

Data Scientist

Worcester, MA

Full-time

Remote

Mid Level

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Responsibilities

Supports and prepares reports and analyses for the management team and Senior Data Scientists for Population Health analytics projects by working closely with internal, affiliate and community-based customers and executives, Information Services (IS) staff, project managers, program directors, and other OCI teams to turn data into critical information/knowledge that can be used to make sound organizational decisions.

Follows through on process improvement and evaluation opportunities to increase the efficiency of the reporting process. Applies advanced statistical and/or predictive modeling techniques to improve multiple real-time, people-centric (dynamic) systems.

Combines seemingly unrelated data concepts to identify trends and to solve complex problems.

Works with Senior Data Scientists to design experiments and tests hypotheses to support quality and/or financial performance improvement initiatives. Evaluates options to complex problems by using mathematics and statistical methods.

Leads process discovery sessions to define operation definitions for data and identify stakeholder’s requirements for work in an ambiguous, constantly changing environment.

Integrates and prepares large, varied datasets, architecting specialized databases and computing environments from disparate data sources, and specifically with Epic.

Investigates program requirements as they are rolled out, determines optimal data sources and processes to stand up analytics to support these programs.

Qualification

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Master’s DegreeAdvanced statistical techniquesStatistical computer languagesData VisualizationStatistical softwareCoding knowledgeData architecturesMachine learning techniquesMedical terminologyOptum Performance AnalyticsEpic as data source

Required

Master’s Degree in Mathematics, Statistics, Engineering, Computer Science, Data Sciences, Social Sciences, Business Administration or equivalent field required within 12 months of hire.

Experience working with data from the financial, healthcare, software, or equivalent industry in a function utilizing advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.).

Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.

Experience with statistical and data mining techniques.

Experience in developing processes and tools to monitor and analyze model performance and data accuracy.

Experience using statistical software such as SAS, IBM SPSS.

Experience with Data Visualization/presentation skills and experience with Tableau.

Excellent written and verbal communication skills.

Ability to work in a team environment.