Senior Data Scientist

• 5+ years of commercial experience as a Data Scientist delivering end-to-end products.
• Proven experience building and optimizing recommender systems at scale.
• Hands-on knowledge of causal inference, specifically uplift modeling.
• Deep understanding of supervised learning with a focus on complex classification models.
• Solid background in natural language processing (NLP) and embeddings.
• Tech stack experience: Python (including Pandas, scikit-learn, PyTorch, TensorFlow), PySpark, SQL.
• 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).

Main responsibilities:

• Partner with business leaders to translate complex challenges into actionable ML hypotheses.
• Design, develop, and deploy hands-on recommender systems, advanced classification models, and NLP solutions using large-scale datasets.
• Apply Uplift modeling techniques to measure the genuine incremental impact of products and campaigns.