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MINIMUM QUALIFICATIONS
- Undergraduate degree required; quantitative discipline preferred (data science, computer science, statistics, mathematics, operations research, or systems engineering).
- Seven (7) or more years of relevant experience in data engineering, data science, analytics, or quantitative modeling.
- Proficiency in Python, R, or similar languages for data manipulation, statistical analysis, and model development.
- Experience building and deploying data pipelines, ETL/ELT processes, or data integration solutions in enterprise environments.
- Proficiency with SQL and familiarity with data warehouse or data lake architectures (e.g., Snowflake, Databricks, Redshift, Synapse, or equivalent).
- Demonstrated experience developing quantitative risk models, supplier scoring frameworks, or anomaly detection capabilities.
- Experience designing and building dashboards and data visualizations in Tableau, Power BI, or equivalent platforms.
- Familiarity with SCRM concepts including supplier risk assessment, third-party due diligence, supplier segmentation, and criticality analysis.
- Strong written and verbal communication skills; ability to produce technical documentation and translate analytical findings into executive-ready outputs.
- Active TOP SECRET clearance required. Must be a U.S. citizen.
PREFERRED QUALIFICATIONS
- Experience with M&S tools or frameworks (e.g., AnyLogic, Simio, Arena, agent-based modeling platforms, or custom Python/R stochastic simulation development).
- Familiarity with federal SCRM policy frameworks including NIST SP 800-161, DFARS 252.204-7012, and related DoD acquisition risk guidance.
- Experience working in or supporting DoD or federal agency data environments, including familiarity with data classification, access controls, and ATO/RMF processes.
- Knowledge of graph analytics or geospatial analysis methods applied to supplier network mapping and geographic concentration risk.
- Familiarity with commercial supply chain risk data providers (e.g., Exiger, Sayari, Dun & Bradstreet) or open-source threat intelligence tools.
Target salary range: $120,000 - $185,000. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.
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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Job ID
14127
Security Clearance
Top Secret
About LMI Consulting