Data Science Lead

Prescient Edge is seeking aData Science Leadto support a federal government client.

Please note that the availability of this position is contingent upon.

Benefits:

At Prescient Edge we believe that acting with integrity and serving our employees is the key to everyones success. To that end we provide employees with a best-in-class benefits package that includes:

• 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.

Description:

• 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.

Experience:

• 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.
• Personnel must be proficient in advanced machine learning techniques statistical modeling and data science methodologies with expertise in feature engineering model validation and data provenance tracking.
• Personnel must have 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.
• Personnel must have 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.
• Personnel must have experience overseeing sprint-based Agile development cycles and working within cloud-based data science environments such as AWS Azure or Databricks.

Education:

• A Masters 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.
• Desirable but not required certifications include AWS Certified Machine Learning Specialty Microsoft Certified: Azure AI Engineer Associate or Certified Analytics Professional (CAP).

Security clearance:

• Active TS/SCI clearance.

Location:

• Doral Florida. (USSOUTHCOM Headquarters)