Data Scientist

Job not on LinkedIn

🔥 3 hours ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Oteemo Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Oteemo Inc. is a technology consultancy company specializing in DevSecOps transformation, infrastructure modernization, and cyber security solutions. The company helps enterprises rapidly deliver digital capabilities without compromising security and quality. Oteemo leverages artificial intelligence, adopts Agile methodologies, and provides business transformation services. They serve various sectors, including financial services, healthcare, technology, and government, by modernizing operations, enhancing security, and driving innovation. Oteemo operates from multiple locations, including the USA, Mexico, and India, delivering expert-led solutions to improve efficiency, safety, and reliability.

📋 Description

• Design and implement optimization models, including mixed-integer linear programming and constraint programming, for allocating scarce parts and resources across competing programs • Develop machine learning models to forecast demand, supply risk, and part availability • Translate competing program priorities into formal objective functions and constraints • Validate model outputs against historical allocation decisions and stakeholder expectations • Iterate on model formulations as new constraints emerge • Build and maintain data pipelines using live inventory, demand, and program data • Present modeling tradeoffs and recommendations to non-technical program and supply-chain stakeholders • Mentor junior data scientists on optimization techniques and modeling best practices • Partner with software engineers to productionize models as scalable services • Own the full modeling lifecycle from problem formulation and data exploration through validation and production deployment

🎯 Requirements

• Master's or PhD in Operations Research, Applied Mathematics, Computer Science, Industrial Engineering, or a related quantitative field (or equivalent practical experience) • 6+ years of experience building optimization and/or ML models for resource allocation, scheduling, or supply chain problems • Deep hands-on experience with optimization solvers such as Gurobi, CPLEX, or OR-Tools • Experience formulating MILP and constraint optimization problems • Strong Python skills • Experience with ML frameworks such as scikit-learn and PyTorch • Experience with pandas and NumPy • Experience working with messy, real-world supply chain, inventory, or program data • Excellent communication skills and comfort presenting complex tradeoffs to program and business stakeholders • Preferred: experience with allocation problems in aerospace, defense, or manufacturing supply chains • Preferred: familiarity with ERP systems such as SAP • Preferred: experience deploying optimization models as production services, APIs, or batch pipelines • Preferred: exposure to reinforcement learning or Bayesian methods for decision-making under uncertainty

🏖️ Benefits

• Remote work arrangement • Continuous learning opportunities • Inclusive and collaborative culture • Mentorship opportunities