Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job DescriptionSOSi is seeking a 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.
Essential Job Duties:
- The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
- The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
- The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
- The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
- The contractor shall 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.
- The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field, or;
- seven (7) years of equivalent experience in machine learning and predictive modeling.
- Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
- Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
- Knowledge of data visualization, feature selection, and geospatial analytics is required.
- Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
- Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
- Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.
Preferred Qualifications:
- Desirable but not required certifications include AWS Certified Data Analytics – Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).
Work Environment
- Full remote flexibility.
Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.
Skills Required
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- Seven (7) years equivalent experience in machine learning and predictive modeling
- Ability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes
- Proficiency in data mining, statistical modeling, and AI-driven forecasting techniques with structured and unstructured data
- Knowledge of data visualization, feature selection, and geospatial analytics
- Experience integrating data from multiple sources, ensuring model accuracy, and working within Agile sprint cycles
- Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing
- Experience with Python, R, SQL, and data science libraries (Pandas, NumPy, SciPy)
- Experience with cloud-based AI/ML tools (e.g., AWS SageMaker or Azure Machine Learning) and implementing models into operational workflows
- AWS Certified Data Analytics - Specialty
- Microsoft Certified: Azure AI Fundamentals
- Certified Data Scientist (CDS)
SOSi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SOSi and has not been reviewed or approved by SOSi.
-
Healthcare Strength — Health coverage is considered a relative strength, with international plan options and substantial employer contribution that support OCONUS and travel-heavy work. Company materials also highlight a comprehensive medical offering alongside wellness support.
-
Retirement Support — A 401(k) program is available, with indications of employer matching though specifics are not publicly detailed. This suggests foundational retirement support for eligible employees.
-
Career-Linked Recognition & Rewards — Compensation is often characterized as competitive for cleared, hard‑to‑hire, and certain overseas or mission‑critical roles. Pay levels appear closely tied to contract demands, clearance, and location.
SOSi Insights
What We Do
SOSi is a technology and services integrator focused on the aerospace, defense, and government services industry, described as one of the largest private, founder-owned companies in its sector.
