Operations Research Scientist / Supply Chain Analyst (India)
ParkourSC is a Silicon Valley (US)–based software company that delivers an AI-powered platform for dynamic decision intelligence in supply-chain operations. Our digital-twin technology and advanced analytics help organisations anticipate disruptions, optimise complex networks and make faster, real time data-driven decisions.
We are expanding our Operations Research team and are looking for a hands-on Operations Research Scientist to join our Decision Intelligence group in Hyderabad. You’ll work closely with and report to our OR Lead, contributing directly to the development of algorithm-driven product features for global life-science clients.
Your Impact
- Design, prototype and refine optimisation and simulation models for key product capabilities in supply chain management, e.g. network design, production scheduling, inventory management or logistics flows.
- Collaborate with product managers, engineers and senior OR experts to translate use cases into robust, scalable algorithms embedded in our decision platform.
- Contribute to model implementation, testing and deployment, balancing technical rigour with product usability and runtime performance.
- Analyse real-world supply-chain data to parameterise models, test assumptions and support validation with internal and external stakeholders.
- Stay current on OR methods and contribute to internal knowledge sharing and technical reviews within the Decision Intelligence team.
Your Profile
- 3–5 years of hands-on experience in operations research, data science or advanced analytics, ideally focused on supply-chain problems.
- Master’s degree (minimum) in Operations Research, Applied Mathematics, Industrial Engineering, Data Science or related; a PhD is welcome but not required.
- Proficiency in Python for data wrangling (Pandas, SQL), numerical computing (NumPy, SciPy) and optimisation/simulation frameworks such as Pyomo, Gurobi, CPLEX, SimPy or similar.
- Solid grasp of linear, integer and (basic) nonlinear optimisation, plus familiarity with statistical modelling or machine-learning techniques for forecasting.
- Ability to interpret complex quantitative results and communicate clear, actionable insights in fluent spoken and written English.
- Bonus points for experience in life-science supply chains (pharma, biotech, chemicals or med-tech) and exposure to cloud-native development and CI/CD workflows.
Why ParkourSC
- Work side-by-side with leading OR experts on cutting-edge optimisation challenges and see your models deployed at scale.
- Influence a category-leading AI platform and help define decision-science best practices from the ground up.
- Collaborative, start-up-driven environment where your ideas move quickly from prototype to production.
Contact
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