Senior Data Scientist - Proactive

Role: Senior Data Scientist with expertise in Marketing and Product analytics across domains but especially Retail, Consumer Goods & Products and E-commerce Skill & Experience • Hands on experience with Exploratory Data Analysis and Data Wrangling using Pandas, Polars, NumPy, DuckDB • Applied knowledge of statistical concepts like Hypothesis Testing, AB Testing, p-values and Normal, Binomial, Beta, Gamma, Exponential and Poisson distributions • Applied knowledge of working on data science models like Marketing Mix models, RFM (Recency Frequency Monetary) Analysis, Price Elasticity, Dynamic Pricing, Campaign Optimization etc. • Working knowledge of implementation and maths behind data science algorithms such as Linear & Logistic Regression and their variants like Lasso and Ridge • Should have good understanding of data science algorithms like Random Forest and Xgboost • Understanding of Neural Networks and Deep Learning is a plus not a requirement • Understanding of cloud tools on AWS, Azure would be a great plus • Understanding of Python API frameworks would be a great plus • Preference would be given to a LLM/AI savvy candidate who uses it make their work more effective • Should be able to write good SQL code to extract and analyse data • Should be comfortable using Excel • Should have above average critical thinking and written+oral communication skills • # of years of experience is not a strict bar for the right candidate, but try to look at 5+ years