Senior Data Scientist

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 Discover: 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).