Data Science Lead

Prescient Edge

$100K — $130K *
Miami, FL 33122In-Person
Education, Government & Non-Profit
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Data Science, AI, Computer Science, or equivalent experience.
  • Proficient in advanced machine learning, statistical modeling, and data science methodologies.
  • Experience with Agile methodologies and managing analytic sprints.
  • Demonstrated leadership in developing enterprise-level predictive analytics solutions.
  • Strong background in mission-focused analytics and AI/ML model integration.
  • Familiarity with cloud-based data environments like AWS, Azure, or Databricks.

Responsibilities

  • Oversee development and evaluation of predictive and prescriptive analytics.
  • Establish a framework for collaboration between data science and engineering teams.
  • Submit detailed reports on model development and mission integration.
  • Coordinate access to necessary compute and storage resources for analytics.
  • Manage funding for compute and storage costs through approved arrangements.

Benefits

  • Opportunity to work with cutting-edge technology in a federal environment.
  • Leadership role driving mission-focused analytic innovation.
  • Professional development opportunities related to AI and data science.
  • Engage in strategic planning and stakeholder collaboration.
Full Job Description
Job Title

Data Science Lead

Location

Doral, FL 33122 US (Primary)

Category

Intelligence

Job Type

Full-Time

Career Level

Staff

Education

Master's Degree

Travel

Security Clearance Required

TS/SCI

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.

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)

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