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Data Scientist - LifeSight Technologies Private Limited
Data Scientist
Lead data science initiatives to build AI‑driven causal models for marketing measurement, leveraging Python, machine learning, and causal inference techniques to deliver actionable insights and attribution across multi‑channel campaigns.
About the role
Key Responsibilities
- Design, develop, and deploy causal models (Causal MMM, Incrementality testing) to quantify marketing impact and attribution.
- Engineer data pipelines and feature engineering workflows using SQL and Python to support large‑scale analytics.
- Collaborate with cross‑functional teams to translate business questions into analytical solutions and actionable dashboards.
- Validate model performance, conduct robustness checks, and iterate on model architecture to improve accuracy and scalability.
- Document methodologies, maintain reproducible codebases, and share insights with stakeholders through clear visualizations.
Requirements
- Strong proficiency in Python, including libraries such as pandas, scikit‑learn, and statsmodels.
- Hands‑on experience with causal inference techniques and marketing mix modeling.
- Solid background in SQL and data manipulation across relational databases.
- Excellent analytical, problem‑solving, and communication skills.
- Experience with cloud platforms (e.g., AWS) and data engineering best practices is a plus.
Skills
pythonmachine learningdata analysissql