What You'll Be Owning:
As a Data Science Lead, you will be responsible for overseeing the development of predictive and prescriptive analytics, ensure alignment with mission objectives, and manage data science strategy, governance, and collaboration with engineering teams.
What You Must Have:
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TS/SCI Security Clearance Required Master’s degree in Data Science, Artificial Intelligence, Computer Science, or a related field, or eleven (11) years of equivalent experience in leading AI/ML-driven analytics programs.
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Knowledge and capability to lead the development of predictive and prescriptive analytics, ensuring alignment with mission objectives and the integration of AI/ML-driven insights.
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Proficient in advanced machine learning techniques, statistical modeling, and data science methodologies, with expertise in feature engineering, model validation, and data provenance tracking.
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Personnel must have experience implementing Agile methodologies, managing analytic sprints, and overseeing collaboration between data science and data engineering teams.
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Strong leadership, strategic planning, and stakeholder engagement skills are required to drive mission-focused analytic innovation.
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Personnel must have demonstrated experience developing, deploying, and managing enterprise-level predictive analytics solutions, ensuring governance compliance, and implementing AI/ML models at scale.
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Personnel must have experience overseeing sprint-based Agile development cycles and working within cloud-based data science environments such as AWS, Azure, or Databricks.
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Experience in mission-focused analytics, data-driven decision support, and integration of statistical and machine learning techniques is required.
What Would Be Nice to Have:
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Desirable but not required certifications include: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional (CAP).