Senior Applied Scientist Operations Research
Senior Applied Scientist Operations Research
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Job Description
Our Applied Scientists at Wolt build and deploy applied science and machine learning solutions to address a wide variety of challenging business problems. Utilizing a spectrum of methodologies including statistical analysis machine learning deep learning and operations research they improve critical processes within Wolts online delivery platform and business operations. Their contributions significantly impact all 28 countries in which we operate.
The work consists of owning applied science use cases as part of a product development team; starting from identifying opportunities to developing and prototyping a solution all the way to supporting its deployment monitoring and improving it in production. We use a variety of technologies and tools including Python SQL Snowflake Flyte MLflow and Seldon Core to get the job done and are constantly looking for ways to improve how our applied scientists work.
We are looking for an Applied Scientist specialized in Operations Research to be embedded into our crossfunctional Logistics Assignments team. Together with other operations researchers software engineers and product design and analytics people you would develop algorithms and solutions for efficiently assigning tasks to our Courier Partners. Our task assignments engine is at the core of our logistics system. This is a unique opportunity to work on challenging operation research problems at a high scale. You will have great potential to make a significant impact by tackling complex problems and building new solutions to improve the efficiency of our logistics operations and hence our business.
This role can be based in one of our tech hubs in Helsinki Berlin or Stockholm.
Qualifications :
Our humble expectations
You have demonstrable experience in Operations Research and productionlevel Applied Science projects from prototyping to deploying maintaining and improving production deployed solutions (i.e. ability and interest to handle a use case endtoend);
You have a deep understanding of Operations Research and a solid understanding of statistics.
Proven ability to tackle highly complex domains break them down into solvable problems and develop novel solutions to them. You can fluently discuss technical concepts and matters with nontechnical stakeholders;
Preferable experience with logistics domains great if you have worked on projects within optimization and operational research fields
Knowledge of experimental design and analysis such as A/B testing;
You have solid engineering skills and code fluently in Python which is our main language for applied science projects and experience querying databases (SQL). Experience with C is a plus. You value good software engineering practices understand MLOps and take pride in the quality of your code and the performance of your solutions;
Ideally youll also have a degree in a field relevant to Operations Research or Applied Science;
Youre an analytical curious businessoriented and proactive problem solver. Were looking for a selfstarter with a drive to get things done. Also as well a good communicator willing to collaborate with people inside and outside of the team.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
