Data Science Lead

Prescient Edge; Town of Florida (NY); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Performance bonus opportunities

Healthcare benefits

Retirement plan

Career development opportunities

Job summary

Prescient Edge seeks a Data Science Lead to guide predictive and prescriptive analytics for a federal government client. You will oversee end-to-end model development, deployment, and evaluation to align with mission objectives and operational needs.

The role requires expert ML, statistical modeling, and data governance, with strong leadership and stakeholder engagement skills in cloud-based environments such as AWS/Azure/Databricks.

Qualifications

• Lead development of predictive and prescriptive analytics aligned with mission objectives.
• Proficient in advanced ML techniques, statistical modeling, and data provenance.
• Experience implementing Agile methodologies and managing analytic sprints.
• Experience deploying enterprise-level predictive analytics with governance.

Responsibilities

• Oversee development, deployment, and evaluation of analytics to meet mission needs.
• Establish framework distinguishing data science and data engineering tasks.
• Submit strategy & implementation reports detailing progress and validation.
• Coordinate compute/storage resources for large-scale model training (GPU, storage).
• Fund usage-based compute/storage costs per Government PM approval.

Skills

Advanced ML techniques

Statistical modeling

Data science methodologies

Feature engineering

Model validation

Data provenance tracking

Agile methodologies

Sprint management

Team leadership

Stakeholder engagement

Cloud data science (AWS/Azure/Databrow

Education

Master’s degree in Data Science, AI, CS

Eleven years of equivalent AI/ML analytics leadership experience

Tools

AWS

Azure

Databricks

GPU accelerated environments

High-performance object storage

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.

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

• Active TS/SCI clearance.

Location

• Doral, Florida. (USSOUTHCOM Headquarters)