[8BE] Senior Data Scientist (Statistical Modeling)
Core
Design and validate probabilistic statistical models for dynamic pricing, shipping cost estimation, recommendations, and segmentation on an e-commerce platform.
Role type
Senior IC statistical data scientist (probabilistic modeling)
Builds
Probabilistic models for pricing, segmentation, and demand forecasting
Domain
E-commerce / Statistical Machine Learning
Deliverable
production ML models
Required skills
Bayesian modeling and inference, Markov chains, Hidden Markov Models, MCMC methods, Metropolis-Hastings sampling, Mixture modeling, Expectation-Maximization, Python or R, probabilistic libraries (PyMC, Stan, scikit-learn, NumPy/SciPy), API design, data contracts, CI/CD
Preferred skills
E-commerce domain experience, microservices integration, MLOps concepts, pricing science, recommendation systems
Technologies
PyMC, Stan, scikit-learn, NumPy, SciPy
Responsibilities
Design Bayesian statistical models for decisioning under uncertainty; Build Markov chain and HMM formulations for behavioral patterns; Apply MCMC methods to estimate posterior distributions; Develop mixture models for customer/product segmentation; Implement Expectation-Maximization for latent-variable estimation; Collaborate with architects on model integration; Guide backend engineering on production service architecture; Define model lifecycle management approaches; Document modeling assumptions and validation results.
Seniority
Senior, hands-on IC