Data Scientist - Automation and Ecological Data Analysis

Location: Remote
Job Code: 5165
# of Openings: 1
Salary Range: $87,000 - $97,000
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Bennett Aerospace Inc., a subsidiary of Three Saints Bay, LLC, is a Federal Government Contractor and industry leader. We seek a highly motivated Data Scientist to develop automation frameworks and analytical models for hydrologic geomorphic (HGM) analysis of ecological field data. The role involves designing, testing, and implementing algorithms that streamline functional assessments and ensure consistent outputs across geographic regions and mission areas.

• Develop algorithms and automated workflows to process field‑collected ecological data.
• Build data pipelines and scripts in R, Python, or equivalent tools to support reproducible analysis.
• Ensure automation tools generate consistent, defensible outputs for wetland functional assessments.
• Conduct verification and validation using test datasets and iterative refinement.
• Deliver technical documentation, user guides, and reports to support tool deployment and peer review.

• Master’s degree in Data Science, Statistics, Computer Science, or related field (PhD preferred).
• 5‑10 years of experience in data analysis, modeling, and automation workflows.
• Proficiency in R, Python, and statistical modeling techniques.
• Experience with ecological, environmental, or engineering datasets preferred.
• Strong analytical and problem‑solving skills, with proven ability to translate complex data into decision‑support products.

• Must be a U.S. Citizen with the ability to obtain a U.S. Government Clearance if required.
• Background check and drug screening.
• Applicants selected will be subject to a Government background investigation and must meet eligibility and suitability requirements.
• Successful pass of Bennett Aerospace Background Investigation, Drug Screening and Credit Check.

We offer a comprehensive benefits package and the opportunity to work on exciting projects with government and commercial clients, both domestic and international.

Remote, with potential for hybrid work at the University of Montana.

We are an Equal Opportunity Employer. We invite resumes from all interested parties without regard to race, color, sex, sexual preference, religion, creed, national origin, age, genetic information, marital or veteran status, disability, or any other category protected by federal, state, or local law.