Today
Top Secret
Early Career (2+ yrs experience)
IT - Data Science
Scott AFB, IL•Omaha, NE
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, TensorFlow, 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
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 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
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, TensorFlow, 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
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 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
group id: 10105424
Accelerating IT transformation in the public sector
