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# Data Scientist

- **Company:** Massachusetts General Hospital
- **Location:** Boston, MA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $75,275.0 - $109,554.0
- **Contract:** Permanent contract
- **Skills:** Algorithm Design, Data Analysis, Big Data, Computer Programming, Database Applications, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Operational Data Store, SQL Databases, Tableau (Software)
- **Published:** August 20, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27950763/Data-Scientist-Massachusetts-Boston-1225

## About the Role

Education
Bachelor's Degree Related Field of Study required or Master's Degree Related Field of Study preferred

Can this role accept experience in lieu of a degree?
Yes

Licenses and Credentials

Experience
Experience working in data science-type positions and with large data sets 2-3 years preferred

Knowledge, Skills and Abilities

 - Ability to create reports and dashboards with Tableau.
 - Skilled in data analysis with Python and SQL.
 - Knowledge of statistics.
 - Knowledge of machine learning.
 - Preferred SQL database management and administrative knowledge.
 - Practiced knowledge of numerical optimization algorithms.

## Description

Responsible for analyzing data, uncovering the underlying data patterns and logic, and developing data-driven applications.
They will work towards developing solutions for the entire problem-solving cycle: find/prioritize the problems, research the best algorithms to solve the problems, design robust, practical solvers, and implement them.
Does this position require Patient Care? No
Essential Functions
-Analyze complex and high-dimensional clinical and operational data for dependencies, patterns, outliers, inaccuracies, and validity.
-Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and/or advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries.
-Contribute to the design and evaluation of optimal data-driven metrics (such as physician/facility performance criteria, bottleneck metrics, productivity limits, processing delay/error reports, etc.).
-Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
-Generate and test hypotheses and analyze and interpret the results.


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