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Senior Data Scientist with Security Clearance

Prescient EdgeDoral, FL🇺🇸United States

Why this role stands out

This hybrid role offers a fantastic opportunity to leverage your deep learning and data wrangling expertise to build cutting-edge ML models that directly impact critical security decisions, with a competitive salary and comprehensive benefits package. You'll thrive here if you're passionate about translating complex operational challenges into innovative analytic solutions and contributing to a respected company known for its integrity and employee support. Apply today to join a team that values your skills and provides excellent career development pathways.

Quick overview

SeniorityMid Senior
Employment typeEmployee
Work modeHybrid
LocationDoral, FL, United States
Apache SparkScikit-learnApacheDatabricksDeep LearningPyTorchPythonTensorFlowAzureMachine Learning

Job description

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.

Experience

  • 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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