Data Scientist

Oteemo, Inc
United States
10 days ago
Apply on www.clearancejobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Data Analysis IBM ILOG CPLEX Optimization Studio (CPLEX) Integer Programming Python (Programming Language) Linear Programming Machine Learning NumPy Tensorflow SAP (Applications) Software Deployment Reinforcement Learning
+6 more
Data Processing Pytorch Pandas Scikit Learn Information Technology Data Pipelines

Job description

We’re looking for a Data Scientist to lead the design and development of optimization and machine learning models that allocate scarce parts and resources across competing programs. You’ll build algorithms spanning mixed-integer programming, constraint optimization, and ML-driven forecasting that turn hard supply constraints into defensible, auditable allocation decisions. You’ll own the full modeling lifecycle, from problem formulation and data exploration through validation and production deployment, partnering closely with program stakeholders to translate competing priorities into solvable objectives. This is a high-visibility role for someone who moves fluidly between rigorous quantitative modeling and pragmatic, program-facing communication., * Design and implement optimization models (e.g., mixed-integer linear programming, constraint programming) for allocating scarce parts and resources across competing programs.

  • Develop ML models to forecast demand, supply risk, and part availability, feeding those forecasts directly into allocation logic.
  • Translate ambiguous, competing program priorities into formal objective functions and constraints.
  • Validate model outputs against historical allocation decisions and stakeholder expectations; iterate on formulations as new constraints emerge.
  • Build and maintain the data pipelines needed to keep optimization models current with 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., * Drive: Passion and energy to implement quality technical solutions. Self-motivation and intellectual curiosity

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 (e.g., Gurobi, CPLEX, OR-Tools) and formulating MILP/constraint optimization problems.
  • Strong Python skills, with experience in ML frameworks (e.g., scikit-learn, PyTorch) and data manipulation libraries (pandas, NumPy).
  • Experience working with messy, real-world supply chain, inventory, or program data.
  • Excellent communication skills; comfortable presenting complex tradeoffs to program and business stakeholders., * Experience with allocation problems in aerospace, defense, or manufacturing supply chains.
  • Familiarity with ERP systems (e.g., SAP) and how allocation decisions flow into procurement and production planning.
  • Experience deploying optimization models as production services (APIs, batch pipelines).
  • Exposure to reinforcement learning or Bayesian methods for decision-making under uncertainty., * Commitment to Quality: Passion to conceive and produce world-class solutions that drive real-world value for the customer
  • Customer Focus: Consultative approach to solving problems for customers. Expectations management.
  • Communication: Superior communication skills. Ability to clearly articulate problems, solutions, risks, rewards etc. (written and verbal)
  • Technical Skills: Love for technology. You have to be inherently passionate about technology.
  • Business Acumen: Technology ultimately is used to enable the business. We look for people who understand how the businesses can be enabled through their technical solutions

About the company

Oteemo is an industry-leading technology consulting firm at the forefront of AI-driven, cloud native, enterprise DevSecOps transformation. We build intelligent, automated, secure systems for organizations tackling their toughest technical and business challenges and we’re pushing the boundaries of what AI, generative AI, and agentic systems can do in production, not just in theory. Join us and you’ll work alongside recognized experts on cutting-edge projects that blend cloud native architecture, extreme automation, and AI/ML at the core. We foster a dynamic, inclusive, and collaborative culture built on continuous learning, where your ideas shape real outcomes for our clients. If you’re passionate about building what’s next in AI and cloud technology and want to do it with a team that sets the standard rather than follows it, Oteemo is where you belong.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.clearancejobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:34 min

Maximizing execution memory effectively via python numpy broadcasting

Jodie Burchell · LIVE

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · World Congress 2024

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

1:25 min

Replacing NumPy with cuPy for straightforward GPU acceleration

Paul Graham Paul Graham · World Congress 2025

2:44 min

Defining core roles and responsibilities in MLOps teams

Bas Geerdink · LIVE

Videos

See all

Related articles

See all