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TrideumPosted 1 month ago

Data Scientist/Analytics Engineer

On-siteKilleen, Texas, United States

Full TimeDoctorate Or Professional Degree

Job Summary

Develop and maintain executive-level decision support products, including operational dashboards and AI pipelines, to translate complex data into actionable insights for US Army equipment evaluations. Build data pipelines and visualizations within enterprise platforms like Army Vantage to provide real-time oversight of operational tests and assessments. Ensure strict data traceability from source data through analyses to final evaluations while collaborating with mission partners to define requirements and shape solutions. Communicate technical findings to both technical and non-technical audiences, including senior leadership. This role supports the US Army Operational Evaluation Command in Killeen, TX, ensuring equipment meets warfighter needs through granular visibility across all evaluation phases.

Required Qualifications

  • Bachelor's Degree from an accredited school in a technical discipline (data science, engineering, mathematics, science, computer science)
  • Position requires five or more years of related professional experience
  • Active DoD Secret Clearance or U.S. citizenship and the ability to obtain/maintain a DoD Secret Clearance
  • Strong data science, data analytics, and/or data engineering background and thorough knowledge of statistics and mathematics
  • Expertise in data analysis and visualization using languages like Python, R, and SQL
  • Experience with data visualization software like Tableau, Power BI, or Qlik
  • Experience with data management platforms like ADVANA, Palantir Foundry, Databricks, Snowflake, and Azure Synapse Analytics
  • Demonstrated ability to solve technical and operational problems independently within a team setting
  • Excellent written and oral communication skills
  • Familiarity with DoD systems and processes
  • Less than 25% travel

Desired Qualifications

  • Master's Degree from an accredited school in a technical discipline (data science, engineering, mathematics, science, computer science)
  • Background in developmental or operational testing
  • Experience with data modeling, ETL, and similar data engineering processes
  • Experience with Agile processes and solutions like GitLab or Jira
  • Experience with version control software like Git
  • Experience in project management and team leadership
  • Experience using cloud platforms (e.g., Azure, AWS) for data analytics and reporting
  • Knowledge of military or defense data systems (e.g., DAVE, PRMT, GFEBS, and ARES)

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