Associate Data Scientist – Optimization & Operations Research
See all open roles at aera technology →
Likely real
- 15 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
See your fit for this role and apply with a truthfully tailored résumé.
About the role
Responsibilities
Work with real-world business data to formulate optimization problems in areas such as supply chain, inventory, production planning, and pricing.
Design, implement, test, and refine linear, integer, and mixed-integer programming models, along with heuristic or meta-heuristic approaches where needed.
Prototype and compare alternative formulations and solution strategies, balancing optimality, robustness, and runtime performance.
Use commercial and open-source solvers (e.g., Gurobi, CPLEX, COIN-OR) effectively, including model diagnostics, tuning, and performance analysis.
Collaborate with solution delivery and data engineering teams to integrate optimization models into end‑to‑end decision workflows.
Engage with customers and internal stakeholders to understand requirements, explain model behavior and trade-offs, and iterate on designs.
About You
Bachelor’s or Master’s degree in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related quantitative field.
1-3 of experience in optimization / OR, including internships, academic projects, or industry experience; outstanding fresh graduates are encouraged to apply.
Strong foundations in linear algebra, probability, optimization theory, and algorithms, with clear intuition for LP/MIP modeling.
Hands-on experience formulating and solving optimization models using at least one solver (Gurobi, CPLEX, COIN-OR, etc.) and one programming language (preferably Python).
Demonstrated passion for OR: coursework, theses, competitions, or open-source contributions.
Ability to reason from first principles, question assumptions, and propose alternative formulations when the first approach does not work.
Comfortable working in a fast-paced environment, taking ownership, and learning new problem domains quickly.
Nice to Have
Exposure to supply chain, logistics, or pricing optimization problems.
Experience with large-scale data handling (SQL, Spark, or similar) to prepare input data for optimization runs.
Familiarity with building small services or scripts to operationalize optimization runs (e.g., scheduling, APIs, or batch jobs).
Stop applying to ghosts.
OyaPilot surfaces only verified, real jobs, scores your fit, and tailors your application truthfully.