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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)
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.