Data Scientist (CLEARANCE REQUIRED)

About the Team

STR’s Analytics & C2 (AC2) Division researches and develops novel technologies to solve challenging national security problems through advanced analytics and C2 technologies. Our team consists of passionate and motivated engineers and scientists with advanced degrees in engineering, computer science, mathematics, physics, and data science. We use our expertise and creativity to take innovative ideas from conception to mature implementation to improve mission success of our customers.

The Signals Exploitation and Tracking (SET) Group in the Analytics and C2 Division focuses on applying machine learning, statistics, estimation theory, and information theory algorithms for signals exploitation, target tracking, predictive analytics, and system resource management.

The Role

As a Senior Data Scientist at STR, you will help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis.  You will contribute to data analysis, engineering software, and validation/verification of cutting-edge algorithms for novel application domains and modalities.  You will explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers. In addition, you will participate on project teams and interact with customers. We are looking for someone to join our team onsite as this position is based in the Woburn, MA office.

Who you are:

• Active Top Secret Clearance Required with SCI eligibility, for which U.S citizenship is needed by the U.S government
• Have experience in intelligence or military-related mission areas
• MS degree or a BS degree with at least 2 years of experience, in a scientific field such as applied math, physics, electrical engineering, computer science, or data science
• Experience building data analysis pipelines using standard tools (e.g., Python, C++), including implementing software to identify key metrics for various data sets
• Experience designing and implementing experiments to verify and compare algorithm performance with measured data and/or simulations using standard analysis tools (e.g., Python)
• Experience with standard data science tools such as scikit-learn, Pandas, and Matplotlib
• Proficiency in one or more programming languages: Python, C/C++
• Able to work and collaborate on multi-disciplinary teams
• Able to communicate technical foundations findings to technical and non-technical audiences

Even better:

• Have experience in statistical inference, systems simulation capabilities, Monte Carlo or optimization methods, and/or data structures
• Have expertise working with time-series data (sampled signals and/or discrete detection series)
• Have expertise working with geospatial and/or spatio-temporal data

Pay Information
Full-Time Salary Range: $110,000 – $138,000

The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.