Data Scientist

SOSi; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

A defense and government services firm is seeking a Data Scientist to enhance intelligence and operational planning through predictive modeling and data analysis. This role involves developing AI-driven insights, integrating customer feedback into models, and working with large-scale datasets. Candidates should have a relevant degree or extensive experience, proficiency in programming languages like Python and tools like AWS SageMaker, and knowledge of agile methodologies. Competitive compensation is offered in the United States.

Qualifications

• Proficient in data mining, statistical modeling, and AI-driven forecasting techniques.
• Experience working with structured and unstructured data sources.
• Capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.

Responsibilities

• Develop and refine predictive models and conduct exploratory data analysis.
• Submit Predictive Model Performance Report documenting key findings and accuracy metrics.
• Implement sprint-based Agile methodologies to ensure rapid development cycles.

Skills

Data mining

Statistical modeling

AI-driven forecasting

Data visualization

Feature selection

Geospatial analytics

Python

R

SQL

Education

Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field

7 years of equivalent experience in machine learning and predictive modeling

Tools

AWS SageMaker

Azure Machine Learning

Pandas

NumPy

SciPy

Job description

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 Description

SOSi is seeking a Data Scientistto 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.

• 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.

Qualifications

• 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).

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.