Data Scientist Security Clearance

Position: Data Scientist with Security Clearance
Location: Omaha
Data Scientist
Omaha, NE - Data Analytics & AI – BI and Advanced Analytics /Regular /On-site At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests.

REQUISITION NUMBER: 1265

Title:

Data Scientist Clearance:
DoD Active Top Secret Locations:
Stuttgart Germany;
Omaha, NE;
Fort Meade, MD;
Scott AFB, IL;
Doral, FL Non-Employee Referral Bonus Eligible: $2,000 Overview:
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.

Responsibilities/Duties:
Drive Data-Driven Discovery

· 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 Lead Analytics Strategy

· 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 Build Innovative ML Solutions

· 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 Enable Advanced Analytics

· Establish statistical rigor and experimental design standards across the organization

· Build analytical tools and methodologies that other teams can leverage for their own insights Foster Data-Driven Culture

· 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 Required Skills

– What You’ll Bring :

· 3+ years of experience 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, Power

BI, Qlik)

· Database and analytical platform experience with SQL, statistical software, and modern data analysis environments Preferred Skills - What Would Set You Apart:

· Production ML systems experience including model deployment, monitoring, and MLOps practices in cloud environments

· Strong data engineering skills in…