Data Scientist

Requisition Number: 1417

Title: Data Scientist

Clearance: DoD Active Top Secret

Location: Omaha, NE

As a Data Scientist at Agile Defense, you will be joining a team of professionals that build AI/ML solutions. This role will help support understanding our customers, markets, and operations through advanced analytics and machine learning. You'll work closely with business leaders, product teams, and engineering to identify opportunities, test hypotheses, and build predictive models that inform critical business decisions and drive measurable impact.

• Conduct deep-dive analyses to understand customer behavior, market trends, and business performance
• Design and execute sophisticated experiments to test business hypotheses and measure feature impact
• Build predictive models that forecast business outcomes and identify growth opportunities
• Apply advanced statistical techniques to solve complex business problems across multiple domains

• Partner with business leaders to identify high-impact analytical opportunities and frame research questions
• Influence product and business strategy through data-driven insights and recommendations. Build analytical frameworks.
• Present complex findings to executive stakeholders in compelling, actionable formats

• Develop models for segmentation, recommendation systems, risk assessment, and optimization
• Create statistical models that quantify business impact and guide resource allocation decisions
• Collaborate with ML engineers to transition research models into production systems

• Establish statistical rigor and experimental design standards across the organization
• Build analytical tools and methodologies that other teams can leverage for their own insights

• Train and mentor stakeholders on analytical thinking and data interpretation
• Communicate complex statistical concepts to non-technical audiences in understandable ways
• Advocate for data quality and proper experimental design in business decision-making
• Contribute to the analytical capabilities and methodologies of the broader data team

• 3+ years of experience in regression analysis, and building predictive models for business applications with measurable impact
• Advanced statistical knowledge including experimental design, hypothesis testing, causal inference, and statistical modeling techniques
• Strong programming skills in Python or R with experience in data analysis libraries and platforms like Databricks for large-scale analytics
• Business acumen with proven ability to translate complex analytical findings into strategic business recommendations and actionable insights
• Machine learning expertise with experience building and validating models using scikit-learn, Tensor Flow, or similar frameworks on platforms like Databricks
• Data analysis and visualization abilities using advanced analytics tools and integrating with business intelligence platforms (Tableau, PowerBI, Qlik)
• Database and analytical platform experience with SQL, statistical software, and modern data analysis environments

• Production ML systems experience including model deployment, monitoring, and MLOps practices in cloud environments
• Strong data engineering skills in Databricks, Python, PySpark, and Spark SQL with experience implementing medallion architecture and modern data platform patterns
• Data architecture expertise with experience designing scalable data processing systems and implementing data governance frameworks
• Experience integrating with platforms such as Qlik, Tableau, PowerBI, MAVEN Smart System (Palantir), or similar.
• Experience designing and building enterprise-level dashboards, reports, and self-service analytics platforms
• Analytics platform knowledge including experience with Advana

• Contractor site with varied travel possible. Possible off-hours work to support releases and outages. General office environment. Work is generally sedentary in nature but may require standing and walking for up to 10% of the time. The working…