Senior Data Scientist
Summary
A Senior Data Scientist who designs and deploys advanced ML systems (recommender engines, NLP, classification) to personalize user experiences and measure true business impact via causal inference (e.g., uplift modeling).
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.
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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).