Data Science Lead

Prescient Edge • Doral, FL

3d • Onsite

About The Position

Prescient Edge is seeking a Data Science Lead to support a federal government client. This role involves overseeing the development, deployment, and evaluation of predictive and prescriptive analytics to ensure alignment with mission objectives and operational needs. The Data Science Lead will establish a structured framework to distinguish data science and data engineering tasks, ensuring effective resource allocation and seamless collaboration. A key deliverable is the Predictive Analytics Strategy & Implementation Report, detailing model development, algorithm validation, and mission integration. The role also requires coordinating access to compute and storage resources for large-scale model training and analytics, including GPU environments and parallel data processing, and managing associated costs through approved chargeback arrangements.

Requirements

• Possess the 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.
• Proficient in advanced machine learning techniques, statistical modeling, and data science methodologies, with expertise in feature engineering, model validation, and data provenance tracking.
• Experience implementing Agile methodologies, managing analytic sprints, and overseeing collaboration between data science and data engineering teams.
• Strong leadership, strategic planning, and stakeholder engagement skills are required to drive mission-focused analytic innovation.
• Demonstrated experience in developing, deploying, and managing enterprise-level predictive analytics solutions, ensuring governance compliance, and implementing AI/ML models at scale.
• Experience in mission-focused analytics, data driven decision support, and integration of statistical and machine learning techniques is required.
• Experience overseeing sprint-based Agile development cycles and working within cloud-based data science environments such as AWS, Azure, or Databricks.
• Active TS/SCI clearance.

Nice To Haves

• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Certified Analytics Professional (CAP)

Responsibilities

• Oversee the development, deployment, and evaluation of predictive and prescriptive analytics to ensure alignment with mission objectives and operational needs.
• Establish a structured framework to distinguish data science and data engineering tasks, ensuring the effective allocation of resources and seamless collaboration between teams.
• Submit the Predictive Analytics Strategy & Implementation Report, detailing model development progress, algorithm validation, and mission integration.
• Coordinate to access compute and storage resources required to support large-scale model training and analytics workloads, including GPU accelerated environments, high-performance object storage, and parallel data processing capabilities.
• Fund usage-based compute and storage costs through inter-task chargeback arrangements, as approved by the Government PM.

Benefits

• A competitive salary with performance bonus opportunities.
• Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage.
• A substantial retirement plan with no vesting schedule.
• Career development opportunities, including on-the-job training, tuition reimbursement, and networking.
• A positive work environment where employees are respected, supported, and engaged.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior