Data Scientist - Operations Research

Data Scientist – Operations Research   (Fulltime, 38 hours per week) Are you passionate about transforming large volumes of data into predictive and prescriptive models that directly shape business decisions? As a Data Scientist – Operation Research, you develop models that drive smarter business decisions, operational excellence, and measurable impact across one of Europe’s fastest growing retailers. In this role, you help teams embrace data driven decision making and deliver solutions that positively impact daily operations.
This is what your day could look like   You start your morning by checking if all the simulation runs you scheduled the previous day ran successfully during the night. Yes, they did, so you can create a comprehensive overview and draw some conclusions on the fix you implemented yesterday. Too bad the improvement didn’t work, but no worries, you already had an alternative plan in mind that you discuss with your peer.

In the afternoon, you have a meeting with the cross functional project team and tell them the bad and the good news. After everybody agrees with your plan, you start directly, because it requires you to change a cost function in the optimization model. This will keep you busy for the next few days, which will be challenging, but fun.

And what’s even more motivating is the direct impact it will have in all 19 European Warehouses of Action.
This is your daily action
Translate business questions into testable analytical objectives.
Collect, clean, and prepare structured and unstructured data for modelling.
Perform exploratory analyses, build descriptive and diagnostic insights.
Develop deterministic and stochastic (event) simulation models that mirror the operational processes, to make fact based decisions before bringing a solution into practice.
Develop optimization models that will drive decision support and tangible business impact (IP, ILP, MIP, Heuristic based)
Translate models into production-ready solutions. Deploy and integrate models using MLOps principles or product ionize algorithms using containerized technologies such as Docker.
Set up monitoring for accuracy, and system performance.
Collaborate with Technology and with business teams in Supply Chain, Commerce, Store Operations, and Real Estate to embed solutions in the daily operation.
Meet your team   You will join the central Data Analytics team. Besides working closely with your fellow Data Scientists, and Data Analysts, you also work closely with the Process team and Technology. You might collaborate with stakeholders across Commerce, Supply Chain, Store Operations, Real Estate and other domains. You report to the Manager Data Science & Analytics, who supports innovation and personal development.
This is you   You are an enthusiastic and proactive Data Scientist who enjoys working end to end: from scoping and data exploration to modelling, deploying and monitoring. You communicate clearly with technical and non technical colleagues and enjoy building solutions that optimize operations and support (strategic) decision making.
Requirements
Master’s degree in Operations Research, Data/Computer Science, Econometrics or a similar quantitative field.
5+ years of experience as a Data Scientist, Operations Research Analyst, Optimization/Simulation expert
Hands-on experience with IP/ILP/MIP, routing, scheduling, flow problems
Hands-on experience with deterministic and stochastic simulations

Experience with Python/PySpark, and C++

Experience with Azure, Databricks, Visual Studio (Code) and Docker
What we offer   Surprisingly much! From our international headquarters in the Netherlands you have an impact on what happens in our stores across Europe. We welcome more than 15 million customers every week in more…