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Data Scientist / Data Engineer

Job not on LinkedIn

🕒 May 12

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on Game Plan Tech's careers page, not through a job board

First seen by Remote Rocketship May 12

Still open on Game Plan Tech's site. Checked 2 hours ago.

Logo of Game Plan Tech

Game Plan Tech

51 - 200 employees

Founded 2023

💼 Consulting

🎖️ Defense

🤖 Artificial Intelligence

💰 $550k Series B - GamePlan Technologies on 2013-10

Consulting • Defense • Artificial Intelligence

Game Plan Tech is an AI-native engineering and consulting firm that builds secure, cloud-native systems and modernizes legacy codebases for U. S. government agencies. They specialize in integrating commercial AI and generative-agent capabilities, cloud infrastructure engineering, and cloud-native software development while ensuring strict cybersecurity and compliance (ATO) for federal customers. The company emphasizes outcome-driven engagements, mission-focused teams, and ongoing operational support to deliver scalable, cost-effective solutions.

📋 Description

• Join a cross-functional product team supporting Government Logistics • Develop, validate, and deploy statistical and machine learning models • Design and build data pipelines that integrate authoritative Government systems • Translate ambiguous mission questions from government leaders into analytical problems • Productionize models within government environments complying with DoD RMF and controls • Document methodology for government stakeholders to defend model-informed decisions

🎯 Requirements

• U.S. citizenship with active DoD Secret clearance • Bachelor’s or higher in a quantitative field (statistics, mathematics, computer science, etc.) • 3+ years (mid-level) or 6+ years (senior) building and shipping data products in a production environment • Strong proficiency in Python (pandas, NumPy, scikit-learn, etc.) and SQL • Experience with at least one major cloud platform (AWS GovCloud or Azure Government preferred) • Experience working with messy, real-world enterprise data • Customer-facing role experience

🏖️ Benefits

• Equal employment opportunities to all individuals • Reasonable accommodation available during the application process • Fostering a diverse and inclusive workplace

Apply Now

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