Data Scientist (m/f/d)

Berlin, Germany

Applications have closed

Flink

Fresh groceries delivered at supermarket prices.

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Company Description

We are Flink - your online supermarket revolutionising the way you do your grocery shopping. With a wide selection of over 2,400 high-quality products, we aim to deliver to your door in minutes. We put our customers first and ensure all products delivered are fresh and nutritious. Additionally, we can customise our national assortment to be able to offer you unique local products in every city. Our delivery hubs are located in densely populated inner-city locations and we strive to be sustainable by delivering on electric bikes and using packaging that can be recycled. 

Founded by experienced e-commerce professionals and seasoned entrepreneurs with exceptional track records, backed by some of the most renowned Global investors, we are growing rapidly and have a great hunger to continuously challenge ourselves. We pride ourselves in being an inclusive and equal opportunities employer with a diverse and multicultural team.

If you want to be part of this exciting journey… read on!

In your role as a Data Scientist (m/f/d), you will get the chance to work in a cross-functional team and directly impact the business by developing Flink’s Product Recommenders. The recommendations generated by these systems will feature prominently throughout Flink’s app and marketing campaigns. Your work will therefore have a direct impact on the grocery shopping experience at Flink.

Job Description

  • Develop models that generate product recommendations from our rich datasets of customer/product interactions and extensive product catalog
  • Work with internal stakeholders to identify the best ways to integrate recommender systems in our quick grocery app and marketing campaigns
  • Collaborate within a cross-functional team to build services that reliably serve relevant product recommendations in real time
  • Analyse experiments and AB tests to evaluate the effectiveness of the recommender systems

Qualifications

  • You hold a Bachelor's degree or higher in data science, computer science, mathematics, or related field
  • You have practical experience in using different data science methodologies to solve complex business problems and you have experience doing this with Python 
  • You are fluent in reading and writing SQL (experience in Google BigQuery dialect is a plus)
  • You have business fluent (spoken & written) communication skills in English (our main company language)
  • Experience developing recommender systems is a plus
  • Experience with Kubernetes, Airflow and cloud infrastructure (e.g. GCP) is a plus

Additional Information

  • A cool discount off your personal Flink orders, be the first to test out new products!
  • A €1000 annual L&D budget, as well as career coaching options to ensure you have plenty of opportunities to learn, grow and achieve your goals
  • Unlimited access to an e-learning and development platform, MyAcademy, including online German courses
  • Attractive company pension options
  • Online discounts with Corporate Benefits and Future Bens
  • 26 days of vacation, +1 day every year up to a maximum of 30 days
  • A unique opportunity to be an early bird and have an impact on our strategy & growth
  • A steep learning curve, the possibility of working in an energised and dynamic team within a fast-paced environment
  • For Berlin: A newly renovated and spacious, dog-friendly HQ in the heart of Mitte - lots of delicious lunch spots available within short walking distance

It is our commitment that every applicant will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow BigQuery Computer Science E-commerce Flink GCP Kubernetes Mathematics Python Recommender systems SQL

Perks/benefits: Career development Startup environment Unlimited paid time off

Region: Europe
Country: Germany
Job stats:  108  44  0
Category: Data Science Jobs

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