Data Scientist Jobs

About The Position

Requirements

• Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
• 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.
• Able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.
• 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.
• Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
• Active TS/SCI clearance.

Nice To Haves

• Google Professional Machine Learning Engineer certification
• Microsoft Certified: Azure Data Scientist Associate certification
• TensorFlow Developer Certification

Responsibilities

• 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.

Benefits

• 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.