Data Science Lead with Security Clearance

Prescient Edge; Miami (FL); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Performance bonus

Health benefits

Retirement plan

Career development

Networking opportunities

Positive work environment

Job summary

Prescient Edge is seeking a senior analytics leader to oversee the development, deployment, and evaluation of predictive and prescriptive analytics aligned with mission objectives. You will structure collaboration between data science and data engineering and drive enterprise-level initiatives in a cloud data science setting.

The role requires mastery of ML techniques, feature engineering, model validation, data provenance, and Agile governance.

Qualifications

• Lead development of predictive and prescriptive analytics aligned with mission objectives.
• Expertise in ML, statistics, feature engineering, model validation, and data provenance.
• Experience implementing Agile analytics sprints and cross-team collaboration.
• Proven record deploying enterprise‑level analytics with governance and scale.
• Strong background in mission-focused analytics and data-driven decision support.
• Experience in cloud-based data science environments (AWS, Azure, Databricks).

Responsibilities

• Oversee 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 collaboration between teams.
• Submit the Predictive Analytics Strategy & Implementation Report detailing model development progress, validation, and mission integration.
• Coordinate access to compute and storage resources for large-scale model training and analytics workloads, including GPU environments and high-performance storage.
• Fund usage-based compute and storage costs through inter-task chargeback arrangements, as approved by the Government PM.

Skills

Predictive analytics

Prescriptive analytics

Machine learning

Feature engineering

Model validation

Data provenance

Agile methodologies

Cross-team collaboration

AI/ML at scale

Cloud data science

Education

Master’s degree or 11 years equivalent experience in AI/ML analytics

Tools

AWS

Azure

Databricks

Job description

Benefits: At Prescient Edge, we believe that acting with integrity and serving our employees is the key to everyone's 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.

Job Requirements 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 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

• 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)