Senior Data Scientist

SOSi • Remote, OR

98d • Remote

About The Position

SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Requirements

• Active TS/SCI Clearance.
• 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.
• 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.
• 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.

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.
• Implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
• Provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
• Conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior