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Strong brand, metro location, and a popular Data Scientist mid-level profile increase applicant competition.
Core data science and ML skills are moderately transferable across industries, not highly domain-restricted.
Explicit 3-year minimum plus required Python, SQL, and model-development skills create moderate hiring filters.
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Develop and maintain scalable data science models using Python and core data science libraries to enable better business decision-making.
Perform feature engineering and statistical validation to ensure model robustness, accuracy, and business relevance.
Collaborate across teams to translate business problems into data science solutions, manage codebases, and contribute to model deployment readiness with interpretable outputs.
Bachelor's or master's degree in computer science, Information Systems, AI, Machine Learning, or related field (B.Tech/BE/Masters).
Minimum of 3 years of hands-on experience in data science or analytics with proven deployment of data-driven solutions.
Proficiency in Python programming (intermediate to advanced level) with experience in pandas and numpy.
Intermediate-level SQL skills and familiarity with version control tools like Git.
Experience adapting and extending existing codebases with clean, modular, well-documented code, ideally with knowledge of Test-Driven Development.
Strong analytical mindset with ability to statistically validate features and models, ensuring business relevance and robustness.
Comfortable working in collaborative, cross-functional environments translating business requirements into data products and solutions.