Senior Data Scientist (CLEARANCE REQUIRED)

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.

Responsibilities

Help develop disruptive technologies focused on signals exploitation, estimation theory, system resource management, and systems analysis; Contribute to data analysis, engineering software, and validation/verification of cutting-edge algorithms for novel application domains and modalities; Explore fascinating datasets, develop cutting-edge algorithmic techniques, and solve high-impact, unique problems for our customers; Participate on project teams and interact with customers

Requirements

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 with at least 5 years of experience, and/or PhD (or equivalent 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

Nice to have

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