Senior Applied Scientist Merchant Product Data
Senior Applied Scientist Merchant Product Data
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Job Description
Innovate with Machine Learning to Enhance Wolts 70 Million Product Data Items
Our Applied Scientists at Wolt design and deploy machine learning and applied science solutions that tackle some of our most complex business challenges. By leveraging advanced techniques like statistical analysis machine learning deep learning and operations research they enhance key processes across Wolts platform and business operations creating measurable impact in all 28 countries where we operate.
As an Applied Scientist youll take ownership of use cases within a product development teamfrom identifying highvalue opportunities to developing prototyping and deploying solutions and ensuring they continuously improve in production. We work with a range of technologies including Python SQL Flyte MLflow and Seldon Core and always strive to optimize our workflows to support rapid experimentation and innovation.
Were seeking an Applied Scientist to join our crossfunctional Merchant Product Data team within the Merchant Group. In collaboration with data engineers product managers designers and analysts youll develop algorithms and datadriven solutions to enhance our extensive product data. This includes refining the accuracy completeness and structure of over 70 million product listingsencompassing item names descriptions categories and attributes. Youll build machine learning and generative AI models to deliver highquality wellclassified product data empowering Wolt merchants and improving search discovery and other key use cases.
This role can be based in one of our tech hubs in Helsinki Berlin or Stockholm or you can work remotely anywhere in Finland Sweden or Germany. Read more about our remote setup here.
Qualifications :
Were looking for an Applied Science enthusiast who is passionate about using data science to make a measurable impact. Heres what we hope you bring:
Passion for Applied Science: You identify as a problem solver who loves leveraging data science and machine learning to drive business results and create realworld impact.
Expertise in ProductionReady ML Solutions: You know what it takes to build robust scalable models suitable for largescale deployments. Youre comfortable managing the entire lifecycle of data science projects from ideation through to production and ongoing maintenance.
Strong Foundations in ML Statistics and NLP: You bring a solid educational background and practical skills in machine learning statistics and NLP enabling you to design reliable and meaningful solutions. Working experience with generative AI solutions is a big plus.
Engineering Excellence: Youre skilled in writing productionlevel code and following engineering best practices ensuring your solutions are efficient maintainable and scalable.
Clear Communication: You can effectively communicate complex technical concepts to nontechnical audiences bridging the gap between data science and business needs.
Analytical ProblemSolving: You excel at breaking down complex business challenges into clear solvable machine learning problems and designing datadriven solutions to address them.
If youre driven to make an impact through innovative machine learning solutions wed love to see how you can help us push boundaries!
Additional Information :
The position will be filled as soon as we find the right person so make sure to apply as soon as you realize you really really want to join us! We will review your application soon and you can expect feedback within two weeks.
The compensation will be a negotiable combination of monthly pay and DoorDash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well as youll own a piece of the pie.
For any further questions about the position you can turn to Product Talent Acquisition Partner Fernanda ().
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
