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Well-known brand, mid-level Data Scientist role in Bangalore with broad ML/engineering skills attracts many qualified applicants.
Core ML, Python, PySpark and SQL skills are highly transferable across industries despite automotive preference.
Explicit 2-4 years requirement plus mandatory Python, PySpark, SQL, ML and cloud skills.
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Own end-to-end delivery of data science projects including data analysis, feature engineering, predictive modeling, and model interpretation to support automotive retail and aftersales business objectives.
Develop, fine-tune, and scale AI/ML/DL models using techniques such as regression, classification, clustering, tree-based algorithms, neural networks, recommender systems, and attribution modeling.
Collaborate with cross-functional teams to automate processes, standardize data pipelines, and present actionable insights to stakeholders at varying technical levels.
2-4 years of experience deploying data science projects.
Bachelor's or Master's degree in Statistics, Economics, Mathematics, Data Science, Business Analytics, or related quantitative field.
Proficient coding skills with minimum 2 years of experience in Python, PySpark, and SQL.
Working knowledge of ML/DL algorithms and experience with large datasets; familiarity with LLM, Generative AI, Databricks, and Cloud platforms (AWS or Azure).
Experienced in applying advanced analytics and machine learning specifically for the automotive industry or digital marketing campaigns.
Demonstrates capability to independently manage ambiguity and deliver scalable analytics solutions within a collaborative environment.
Skilled in translating complex data science outcomes into clear business insights and recommendations for diverse stakeholders.