Data Scientist

1. About Our Client:

Founded in 1989, the organization is a private, founder-owned technology and services integrator operating in the defense and government services industry. It focuses on delivering tailored solutions and leadership to support national security missions worldwide.

2. About the Opportunity:

The Data Scientist role supports mission requirements by developing, integrating, and sustaining a scalable, federated data ecosystem for a Department of Defense (DoD) customer. The position aims to bridge operational gaps among DoD, intelligence community, interagency, and international partners to enable real-time information sharing, dynamic data integration, and mission-focused analytics.

3. Responsibilities:

• • Develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to improve intelligence and operational planning.
• • Incorporate customer feedback into model iterations using Agile development methods.
• • Submit Predictive Model Performance Reports documenting findings, accuracy metrics, and operational impacts.
• • Implement sprint-based Agile methodologies for rapid development, backlog management, and alignment with mission needs.
• • Provide Rough Order of Magnitude (ROM) Estimate Reports before analytics projects, detailing expected resources and costs.
• • Conduct quarterly reviews to assess cost efficiency, system performance, and optimize analytic workflows.

4. Requirements:

• • Bachelor’s degree in Data Science, Statistics, Computer Science, or related field; or seven years of equivalent experience in machine learning and predictive modeling.
• • Knowledge of developing and refining predictive models, analyzing large datasets, and documenting analytic processes.
• • Proficiency in data mining, statistical modeling, AI forecasting techniques, and handling structured and unstructured data.
• • Experience with data visualization, feature selection, and geospatial analytics.
• • Ability to integrate data from multiple sources, ensure model accuracy, and work within Agile sprint cycles.
• • Experience in exploratory data analysis, feature engineering, statistical testing, and proficiency with Python, R, SQL, and relevant data science libraries.
• • Experience with cloud-based AI/ML tools such as AWS SageMaker or Azure Machine Learning.

Preferred Qualifications:

• Certifications such as AWS Certified Data Analytics – Specialty, Microsoft Certified Azure AI Fundamentals, or Certified Data Scientist (CDS) are desirable but not required.

5. Pay Range and Compensation Package:

• USD 67351 - USD 139882 yearly

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.