Qualifications:
- Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline preferred. Relevant experience considered in lieu of a degree.
- Active DoD Secret clearance required. Must have at a minimum, an Interim Secret Clearance.
- 10 years of experience with Python, and strong experience with PySpark or similar big data libraries.
- Knowledge of Army Vantageand data environment standardization.
- Experience working with data analysis tools including object-oriented programming (Python, Java, SQL, TypeScript), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn).
- Experience developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions
- Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, or d3.js to communicate findings and relate them back to how insights create business impact
- Experience with data modeling, building "objects" (e.g., "Soldier," "Tank," "Unit") and defining how they relate to one another in the Foundry environment.
- Strong background in DevOps and Software Engineering, including GitLab CI/CD, Infrastructure as Code, and implementing Quality Assurance practices like Test-Driven Development (TDD) and unit testing (Pytest).
- Proven ability to design and scale Medallion Lakehouse Architectures, implement Data Mesh concepts, and utilize Dimensional Modeling (Star Schemas) on cloud platforms like Databricks or DoD Advana.
- Innovative problem solving and root cause identification skills.
- Superior communication skills, both oral and written.
- Able to work effectively at all levels of an organization.
- Must be a team player and able to work with and through others.
- Ability to influence and align others and move toward a common vision or goal.
- Federal government agency experience required
Desired:
- Master's degree (preferred) in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline.
- Experience with authoritative data sources, including IPPS-A / MILPDS, GCSS-Army, GFEBS, DTMS / MEDPROS.
- Experience with Army Vantage
- Experience withefforts focused onunderstandinginterdependencies of programs within an organization.
Travel: Minimal, less than 10%
Location: Hybrid; at least 3 days on client site in Crystal City VA or Aberdeen MD. Open to Remote
Target salary range: $111,426 - $150,000
Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
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Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.