Data Science Lead

Description

Prescient Edge is seeking a Data Science Lead to support a federal government client.

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.

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

Security Clearance

N/A

Location

Doral, Florida. (USSOUTHCOM Headquarters)