- Company: STR
- Location: Woburn, Massachusetts
- Salary: Pay not listed
STR — company details are preparing and update automatically in a few seconds (or refresh).
Senior Data Scientist at STR in Woburn, Massachusetts
About This Position
STR is seeking a Senior Data Scientist to join our Intelligence Division. The ideal candidate will have experience in advanced analytics and machine learning, as well as a security clearance. This full-time position requires working on-site at the company's location.
Core Duties
- Develop and implement advanced data analysis techniques for national security applications
- Collaborate with cross-functional teams to identify and solve complex problems using machine learning models
- Contribute to the development of innovative solutions in support of national security objectives
- Ensure compliance with relevant regulations and standards related to data science and security
What We're Looking For
- A minimum of 7 years of experience as a Data Scientist or similar role
- Advanced degree in engineering, computer science, mathematics, or data science
- Expertise in machine learning and statistical analysis
- Experience with Python, R, or other programming languages commonly used in data science
- A security clearance at the appropriate level
- Strong problem-solving skills and ability to work independently as well as collaboratively
About the Company
STR's Intelligence Division is dedicated to researching and developing advanced analytics and machine learning-based solutions for national security challenges. Our team comprises highly motivated engineers with a passion for using their deep technical knowledge to make a difference.
How to Apply
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Listing facts
- Role Senior Data Scientist
- Employer STR
- Location Woburn, Massachusetts
- Type Full Time
- Pay (from listing) Pay not listed
- Posted August 18, 2026
- Apply by September 17, 2026
- Country United States
- Overview Full job description on this page (240 words)
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Typical work in Data Scientist
Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.
- Analyze, manipulate, or process large sets of data using statistical software.
- Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
- Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
- Clean and manipulate raw data using statistical software.
- Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
- Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
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