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Popular Data Scientist title, mid-level (3–6 yrs), Pune metro, and generalist ML/MLOps skillset raise competition.
Requires manufacturing and sensor/time-series domain exposure, reducing cross-industry transferability.
Explicit 3–6 years requirement plus mandatory Python/SQL and manufacturing/IoT domain experience increases strictness.
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Develop, validate, and deploy machine learning/statistical models for manufacturing-related use cases including predictive maintenance, quality prediction, and demand forecasting.
Perform exploratory data analysis on production, quality, and supply chain datasets to identify patterns and root causes.
Collaborate with manufacturing and supply chain stakeholders to translate data insights into operational decisions and support model deployment in production.
Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, or related quantitative field.
3–6 years of experience in building and deploying machine learning or statistical models.
Strong proficiency in Python (pandas, scikit-learn, NumPy) and SQL with experience handling large datasets.
Work Mode: Work From Office in Pune location; Graduates only (dropouts/pursuing not considered).
Experienced in manufacturing, industrial, or IoT/sensor data domains such as production, quality, or supply chain contexts.
Strong foundation in statistics, machine learning, experimental design and data engineering for time-series or sensor data.
Able to effectively communicate technical insights to both technical and business stakeholders to influence decision-making.