Senior Data Scientist - Acquisition and Sustainment

Job Description

Job Description

About the Organization

Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.

About the Role

Redhorse is transforming how the Department of Defense (DoD) utilizes data and technology. We are seeking a highly skilled Senior-Level Data Scientist to join our team supporting the Under Secretary of Defense for Acquisition & Sustainment (OUSD(A&S)). You will play a critical role in advancing data-driven decision-making across the DoD, designing and implementing robust data solutions that directly impact national security initiatives and investments. This is a high-impact position offering significant opportunity to shape the future of DoD data management and analytics.

• Support acquisition missions by extracting insights from structured and unstructured datasets.
• Build predictive and prescriptive models to inform decision-makers and commanders.
• Translate analytic outputs into clear, mission-relevant recommendations.
• Develop machine learning, statistical, and optimization models.
• Conduct feature engineering, validation, and performance tuning.
• Clean, normalize, and integrate data from multiple classified and unclassified sources.
• Ensure compliance with data governance standards aligned with DoD data strategies.
• Understand how enterprise-level efforts align with the DoW Data Strategy.

• Bachelor’s degree plus 7+ years of experience, or a Master’s degree plus 5+ years of experience.
• Experience with big data systems, including Apache Spark and Databricks.
• Experience with ETL processes.
• Experience with the Advana Data Environment.
• Experience with Amazon Web Services (AWS), Microsoft Azure, or MilCloud 2.0.
• Experience engineering data pipelines across multiple security domains/classified networks.
• Experience with multiple coding languages.
• Active Secret security clearance.

The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.

Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent- [email protected]

Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.