Senior Data Scientist
In short
Senior Data Scientist in Łódź, Poland. Develop ML models for personalization & business impact measurement. Requires 5+ years experience, recommender systems, causal inference, NLP. Tech stack: Python, PySpark, SQL, AWS/GCP/Azure/Snowflake.
AI-written summary based on the listing content.
About the RoleWe’re looking for a Senior Data Scientist to own and deliver high-impact data products from concept to production. You’ll bridge the gap between business needs and production-grade ML, with a special focus on enhancing user experience through advanced personalization and measuring true business impact using causal inference.
What You’ll DoDiscover: Partner with business leaders to translate complex challenges into actionable ML hypotheses.
Build & Scale: Design, develop, and deploy hands-on recommender engines, advanced classification models, and NLP solutions using large-scale datasets.
Measure Impact: Apply Uplift modeling techniques to move beyond correlation and measure the genuine incremental impact of our products and campaigns.
What You Bring (Core Tech Focus)5+ years of commercial experience as a Data Scientist delivering end-to-end products.
Specialized ML Expertise:
Proven experience building and optimizing Recommender Systems (at scale).
Hands-on knowledge of Causal Inference, specifically Uplift Modeling.
Deep understanding of supervised learning, focusing on complex Classification models.
Solid background in Natural Language Processing (NLP) and Embeddings knowledge.
Tech Stack: Python(Pandas, Scikit-learn, PyTorch/TF), PySpark, SQL.
Cloud & Infrastructure: Hands-on experience with Databricks, AWS, GCP, Azure, or Snowflake.
Nice to Have
Background in Management Consulting or Marketing Analytics.
Experience with Kedro, CI/CD, or CLI tools (Bash/Zsh).
| Published | 2026-08-06 |
| Expires | 2026-11-04 |
| Source |
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