Senior Data Scientist

Link Group; Warszawa; On-site; PLN 180,000 - 300,000; Full time

Job summary

Link Group is seeking a Senior Data Scientist to own high‑impact data products from concept to production. You will bridge business needs and production‑grade ML, with a focus on personalization and measuring impact through causal inference.

You will build and scale recommender engines, complex classification models, and NLP solutions using large datasets, applying uplift modeling to quantify true incremental effects on campaigns and products.

Qualifications

• 5+ years of commercial experience as a Data Scientist delivering end-to-end products.
• Specialized ML: building and optimizing recommender systems at scale.
• Hands-on knowledge of causal inference, especially uplift modeling.
• Deep understanding of supervised learning and complex classification models.
• Strong NLP and embeddings experience; proficient in Python ecosystems.

Responsibilities

• Partner with business leaders to translate challenges into ML hypotheses.
• Design, develop, and deploy recommender engines and NLP models using large datasets.
• Apply uplift modeling to measure incremental impact of products and campaigns.

Skills

Recommender Systems

Causal Inference

NLP

Embeddings

Python

PyTorch/TF

PySpark

SQL

Tools

Kedro

CI/CD

CLI tools (Bash/Zsh)

Job description

About the Role We’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 Do

• 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).