Data Science Lead

Prescient Edge; Florida; On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive healthcare benefits

Retirement plan with no vesting

Tuition reimbursement

Job summary

Prescient Edge is seeking a Data Science Lead to support a federal government client. The role involves overseeing the development, deployment, and evaluation of predictive and prescriptive analytics to meet mission objectives and operational needs.

The position requires leadership, advanced ML expertise, and experience with Agile methodologies, data science and data engineering collaboration, and enterprise-scale analytics in cloud environments.

Qualifications

• Lead development of predictive and prescriptive analytics.
• Expert in ML techniques, modeling, and data provenance.
• Experience managing analytic sprints and Agile teams.
• Strong leadership and stakeholder engagement.
• Experience deploying analytics at enterprise scale.
• Familiar with cloud-based DS environments (AWS/Azure/Databricks).

Responsibilities

• Oversee development, deployment, and evaluation of analytics to align with mission objectives.
• Establish a framework distinguishing data science and data engineering tasks.
• Submit Predictive Analytics Strategy & Implementation Report detailing progress.
• Coordinate access to compute/storage for large-scale model training and analytics workloads.
• Fund compute/storage costs via inter-task chargeback arrangements with Government approval.

Skills

Advanced ML

Statistical modeling

Feature engineering

Agile

Leadership

Stakeholder mgmt

Education

Master's degree in DS/AI/CS

AWS/Azure certs

Tools

AWS

Azure

Databricks

Job description

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

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

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 certificates include AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Certified Analytics Professional (CAP).

Security clearance:

• Active TS/SCI clearance.

Location:

Prescient Edge is a Veteran-Owned Small Business (VOSB) founded as a counterintelligence (CI) and Human Intelligence (HUMINT) company in 2008. We are a global operations and solutions integrator delivering full-spectrum intelligence analysis support, training, security, and RD&E support solutions to the Department of Defense and throughout the intelligence community. Prescient Edge is an Equal Opportunity Employer (EEO). All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic that is protected by law. We strive to foster equity and inclusion throughout our organization because we believe that diversity of thought is critical for creating a safe and engaging work environment while also enabling the organization’s success.