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Mid-level ML role, metro Pune, and popular Data Scientist title drive high candidate density.
Core ML, Python and MLOps skills transfer across industries, but geospatial/product focus adds moderate domain bias.
Explicit 3–5 years plus mandatory ML, Python, deployment and SQL skills enforce strict shortlisting.
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Own the end-to-end machine learning lifecycle including data exploration, feature engineering, model development, deployment, and monitoring.
Build and optimize scalable predictive models such as regression, classification, clustering, recommendation systems, and forecasting to extract business insights from large, complex datasets.
Collaborate with Product, Engineering, and Business teams to translate requirements into data-driven solutions and present findings to stakeholders clearly.
3–5 years of experience in Data Science, Machine Learning, or Analytics.
Strong programming skills in Python including experience with Pandas, NumPy, Scikit-learn, and TensorFlow or PyTorch.
Experience deploying ML models using Flask, FastAPI, or similar frameworks and strong SQL skills for handling large datasets.
Location requirement: Pune (Work from Office).
Experienced data scientist comfortable managing the full ML lifecycle including model deployment and monitoring in production environments.
Proficient in Python-based machine learning frameworks and integrating models into API frameworks for scalable workflows.
Skilled at working cross-functionally to translate business problems into technical data science solutions in a product-focused organization.