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Mid-level ML/Data Scientist role at a known brand, hybrid metro location, and generalist skillset drive high competition.
Strong ML skills transferable, but preferred automotive and digital-marketing experience increases domain sensitivity.
Explicit 2-4 years plus mandatory Python, PySpark, SQL, ML/DL, Databricks and cloud skills.
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Lead end-to-end data science projects covering data preparation, feature engineering, modeling, validation, and insight delivery to support Retail and After Sales Service business objectives.
Develop and deploy scalable AI/ML/DL solutions including regression, classification, clustering, tree-based models, neural networks, recommender systems, and attribution modeling to address automotive marketing challenges.
Collaborate cross-functionally to automate processes, improve methodologies, enhance data integration, and present actionable insights to varied technical audiences.
2-4 years of professional experience as a Data Scientist executing end-to-end data science projects.
Bachelor's or Master's degree in a quantitative field such as Statistics, Economics, Mathematics, Data Science, or Business Analytics.
Proficient coding skills in Python, PySpark, and SQL (minimum 2 years).
Hands-on experience with machine learning and deep learning algorithms; familiarity with LLM, Generative AI, Databricks, and cloud platforms (AWS or Azure).
Experienced in working with large datasets and developing scalable data science solutions within automotive business and/or digital marketing contexts.
Capable of independently managing projects from inception to deployment while collaborating effectively with cross-functional teams.
Strong analytical and problem-solving skills with ability to communicate complex technical insights clearly to non-expert stakeholders.