BI Data Scientist (m/f/d) - BI App - onsite in Hamburg or Berlin
BI Data Scientist (m/f/d) - BI App - onsite in Hamburg or Berlin
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Job Description
We are looking for a BI Data Scientist (m/f/d) - BI APP to be part of the development of our Business Intelligence Application. Our BI APP circle is embedded in our new circle cluster Customer & Shop Intelligence which is in charge of driving a personalized and inspirational shop experience.
Our BI-APP Team uses data from across the company and transforms it into logics & scores used to provide the best personalized user shopping experience. You will develop the algorithms powering our recommendations.
What you will do
- Develop algorithms for personalized shopping using advanced machine learning techniques
- Deploy solutions to production with full ownership ensuring performance and scalability
- Apply data science skills with a pragmatic agile approach to deliver measurable results
- Improve recommendation systems by identifying gaps in business logic and proposing data-driven enhancements
- Contribute to a fast-paced dynamic environment where your ideas have direct impact
Who you are
- At least 2 years of experience in working as a Data Scientist
- Proficiency in Python or a scientific computing language (e.g. MATLAB R Julia)
- Strong SQL skills and experience with large datasets (e.g. pandas numpy dask)
- Solid understanding of machine learning principles with hands-on model building and deployment experience
- Proven success in delivering ML solutions that drive business value
- Expertise in data pipelines cloud platforms (GCP Vertex AI Amazon SageMaker) and statistical model evaluation
- Familiarity with CI/CD tools and generative AI frameworks is a plus
- Excellent English communication skills with the ability to explain complex ML concepts to both technical and non-technical stakeholders
- Proven collaborator in setting standards for ML model deployment and fostering a proactive knowledge-sharing environment
What you will get on top
- 40 % employee discount in our shop
- Flexible working hours or paid overtime
- Hybrid working
- Internal referral program
- 1680 mobility subsidy
- Support in Relocation and VISA process
- International & diverse working environment
- Company pension scheme
- Sports courses: e.g. gym membership and internal sport teams
- Laracast & Egghead Account
- Mental health & wellbeing workshops
- Inhouse parcel station
- Exclusive discounts via Corporate Benefits
- Participating in Employee Share Program
- Language courses
- Free choice of hardware (Mac or Windows)
- Weekly changing benefits
- Bike-Leasing (Swapfiets)
- State-of-the-art Technologies
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
