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Metro mid-level applied-ML role with generalist Python/ML requirements and a known analytics brand increases competition.
Core ML and data skills transfer across industries, but customer-retail domain experience increases fit sensitivity.
Explicit 2–4 years requirement plus mandatory Python, ML and SQL skills make filtering moderately strict.
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Develop, implement, and deploy complex data science applications and components.
Apply machine learning and advanced statistical modelling to solve client-specific problems and generate actionable customer insights.
Collaborate with teams to deliver impactful data-driven solutions that enhance customer experience and business growth.
Degree in Statistics, Maths, Physics, Economics or similar field.
2 to 4 years of relevant work experience.
Proficiency in Python, Machine Learning, and SQL programming.
Experience in statistical modelling and applying data science techniques to client problems.
Experienced in applying data science directly to improve customer experience and business outcomes.
Operates effectively within advanced data science teams, contributing to innovative and boundary-pushing solutions.
Comfortable working in a flexible, technology-driven environment emphasizing experimentation and continuous learning.