Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Data Science Lead

Job

Prescient Edge Federal

Doral, FL (In Person)

Full-Time

Posted 3 days ago (Updated 17 hours ago) • Actively hiring

Expires 7/4/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
85
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Data Science Lead Prescient Edge Federal - 4.1 Doral, FL Job Details Full-time 15 hours ago Benefits Health insurance Dental insurance Tuition reimbursement On-the-job training Vision insurance Retirement plan Qualifications AI models Statistics Strategic goal setting Management Predictive modeling analysis Agile scheduling Managing IT teams AI platforms (beyond public GPTs) Managing data teams Machine learning cloud services Machine intelligence Managing engineering teams Model deployment Leading team collaboration initiatives Agile software development Model training Machine learning (ML) fundamentals Predictive analytics projects Model evaluation Project stakeholder communication Feature engineering Stakeholder relationship building Agile planning Stakeholder management
Full Job Description Job Description:
Prescient Edge is seeking a Data Science Lead to 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 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 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)