Data Scientist (m/f/d)

Berlin, Germany

Applications have closed

Flink

Fresh groceries delivered at supermarket prices.

View company page

Company Description

We are Flink - your online supermarket revolutionizing 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 customize 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.

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 €1000 annual L&D budget as well as individual coaching options to ensure you have plenty of opportunities to learn, grow and achieve your goals
  • 26 days of vacation, +1 day every year up to a maximum of 30 days
  • A mobility budget of 30 EUR per month with RYDES, which you can use individually for Uber, BVG and many other providers 
  • A cool discount on your Urban Sports Club membership
  • Attractive company pension options
  • Unlimited access to an e-learning and development platform, MyAcademy, including online German courses
  • Online discounts with Corporate Benefits and Future Bens
  • A cool discount off your personal Flink orders; be the first to test out new products!
  • A modern and dog-friendly office in the heart of Berlin - lots of delicious lunch spots available within short walking distance

We pride ourselves in being an inclusive and equal opportunities employer with a diverse and multicultural team. 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 Flink GCP Kubernetes Mathematics Python Recommender systems SQL

Perks/benefits: Career development Fitness / gym Pet friendly Unlimited paid time off

Region: Europe
Country: Germany
Job stats:  36  13  0
Category: Data Science Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.