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