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Tier-1 brand, popular Data Scientist role, and metro location increase applicant competition.
Core ML and production data skills transfer across industries, though People Analytics focus adds moderate domain specificity.
Explicit 2-4 years plus mandatory ML, Python, SQL, production modelling and tooling makes filters stringent.
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Build and maintain HR and People Analytics digital solutions using React front-end and FastAPI backend with Snowflake database integration, including LLM-based and Agentic AI workflows.
Analyze large volumes of data to identify trends and solve ambiguous business problems independently, designing custom solutions for business stakeholders.
Implement machine learning models and AI-powered tools, deploying models in production and enhancing HR processes and workflows.
2-4 years of experience in data science domain.
Proficiency in Python and SQL, with experience in statistical modelling and data science techniques.
Experience with modelling frameworks such as Scikit-learn, PyTorch, and TensorFlow.
Experience using React and FastAPI or developing AI/LLM workflows is a plus but not mandatory.
Experienced in building and deploying machine learning models and AI workflows in production.
Comfortable handling end-to-end data science tasks including backend system design and AI-driven HR analytics solutions.
Ability to work independently on diverse, ambiguous problems with strong analytical and communication skills at all organizational levels.