Data Scientist with Security Clearance

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