Senior Data Scientist (m/f/d) - Search Engine - onsite in Hamburg or Berlin at ABOUT YOU SE & Co. KG
May no longer be active — verify on the employer site
At a glance
- Company
- ABOUT YOU SE & Co. KG
- Location
- Hamburg, Germany
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this ABOUT YOU SE & Co. KG job
- 🏢 ABOUT YOU SE & Co. KG has 62 jobs here, 42 with visa sponsorship see all
- 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
- 💡 No salary shown. Ask ABOUT YOU SE & Co. KG if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Design and implement retrieval, ranking and reranking algorithms to improve search relevance and efficiency.
- Apply NLP and advanced ML techniques to product search problems and drive model improvements.
- Own model lifecycle: prototype, evaluate, productionize and monitor ML models at scale.
- Build and maintain data pipelines and tooling for training, evaluation and serving (cloud-based as needed).
- Identify weaknesses in existing systems (business-logic heavy areas) and propose data-driven solutions.
- Collaborate cross-functionally with engineers, product and ML teams to deliver measurable product impact.
Requirements:
- Proficiency in Python or another scientific computing language and strong SQL skills.
- Solid theoretical understanding of ML and hands-on experience building and deploying models that deliver business value.
- Experience with data structures, algorithms and tools for large datasets (pandas, numpy, dask, polars, Arrow, etc.).
- Practical experience designing and operating data pipelines and cloud-based training/serving platforms (e.g., Vertex AI, SageMaker).
- Strong statistical knowledge for model evaluation and experience with big data analysis.
- Familiarity with CI/CD and MLOps tools; generative AI/agentic frameworks are a plus.
- Excellent communication skills and experience translating complex ML concepts for technical and non-technical stakeholders.
Responsibilities
You will design and implement innovative search algorithms and NLP techniques to enhance personalized shopping experiences. Additionally, you will deploy scalable machine learning solutions into production while collaborating within an agile, cross-functional team.
Requirements
The ideal candidate possesses strong proficiency in Python and SQL, along with a solid theoretical understanding of machine learning principles. You should have proven experience in building and deploying machine learning models and managing data pipelines in a fast-paced environment.
Key skills
- Python — in 1200 other listings on The Stack
- SQL — in 545 other listings on The Stack
- Machine learning — in 291 other listings on The Stack
- NLP — in 26 other listings on The Stack
- Data structures — in 35 other listings on The Stack
- Algorithms — in 38 other listings on The Stack
- Data pipelines — in 113 other listings on The Stack
- Cloud platforms — in 69 other listings on The Stack
- Statistical methods
- Big data
- Generative AI
- Recommendation systems
- Retrieval systems
- Reranking systems
- Communication skills
- Agile methodology
On The Stack (as of 2026-11-05)
Frequently asked questions about ABOUT YOU SE & Co. KG
Is this Senior Data Scientist (m/f/d) - Search Engine - onsite in Hamburg or Berlin role still open?
It was posted on 2026-04-02. Listings more than 30 days old may no longer be active, so check ABOUT YOU SE & Co. KG's site before applying.
Does ABOUT YOU SE & Co. KG offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on ABOUT YOU SE & Co. KG's site.
Where is this role located?
The listing gives the location as Hamburg, Germany. It is marked on-site.
What skills does this role ask for?
The listing names: Python, SQL, Machine learning, NLP, Data structures, Algorithms, Data pipelines, Cloud platforms, Statistical methods, Big data, Generative AI, Recommendation systems, Retrieval systems, Reranking systems, Communication skills, Agile methodology.