Senior Data Scientist

Prescient Edge; Town of Florida (NY); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Bonus opportunities

Healthcare benefits

Retirement plan

Career development

Positive work environment

Job summary

Prescient Edge seeks a Senior Data Scientist to support a federal government client in Doral, Florida. The role focuses on designing and implementing advanced ML models to optimize forecasting, risk assessment, and decision-making processes.

You will track data provenance, document sources and transformations, and prepare the Data Provenance & Lineage Report for governance compliance. Active TS/SCI clearance is required.

Qualifications

• Master's degree in Data Science, ML, Statistics, or nine years of equivalent AI/ML experience.
• Proficiency with Python, TensorFlow, PyTorch or Scikit-learn for model development.
• Experience deploying AI/ML models into production and optimizing real-time analytics.

Responsibilities

• Design and implement advanced ML models to optimize forecasting and decision-making.
• Track data provenance, document sources, transformations and lineage for governance.
• Submit Data Provenance & Lineage Report detailing workflows and audit compliance.

Skills

Deep learning

Supervised learning

Unsupervised learning

Data wrangling

Feature engineering

Model deployment

Explainable AI

Bias mitigation

Education

Master's degree in Data Science / ML / Statistics or 9 years experience

AI/ML certifications (optional)

Tools

Python

TensorFlow

PyTorch

Scikit-learn

Databricks

Apache Spark

Job description

Prescient Edge is seeking a Senior Data Scientist 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

• Design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
• Conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
• Submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.

Requirements

• Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
• Personnel must be proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
• Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
• Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.
• Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
• Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
• Personnel must also have experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.

Education

• A Master's degree in Data Science, Machine Learning, Statistics, or a related field, or nine (9) years of equivalent experience in AI/ML model development and deployment.
• Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.

Security Clearance

• Active TS/SCI clearance.

Location

• Doral, Florida. (USSOUTHCOM Headquarters)