Senior Data Scientist at Future Evidence Foundation, developing AI solutions for health and science research. Collaborate within a team to lead innovations in systematic reviews.
About the role
- Data Scientist at Aera Technology focusing on optimization and operations research to enhance decision-making. Working with business data to formulate and solve complex optimization problems.
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.
Requirements
- 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.
Benefits
- Comprehensive medical
- Group Medical Insurance
- Term Insurance
- Accidental Insurance
- Paid time off
- Maternity leave
- Unlimited access to online professional courses
- Flexible working environment
- Fully-stocked kitchen with snacks and beverages
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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