Netscribes-Data Scientist
On-sitePune, Maharashtra, India
Job Summary
Develop machine learning and statistical models for predictive maintenance, quality prediction, and demand forecasting using production, quality, and supply chain data. Engineer features from manufacturing and time-series sensor data to improve model performance, then partner with data engineers to deploy these solutions into production pipelines. Perform exploratory analysis on operational datasets to surface patterns and root causes, while designing experiments to quantify business impact and model reliability. Collaborate with manufacturing, quality, and supply chain stakeholders to frame problems and translate technical findings into actionable decisions. Present clear recommendations to both technical and non-technical audiences, maintaining reproducible code and comprehensive documentation of methods and assumptions.
Required Qualifications
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
- 3–6 years of experience building and deploying machine learning or statistical models.
- Strong Python skills, including data science libraries (pandas, scikit-learn, NumPy).
- Solid grounding in statistics, machine learning, and experimental design.
- Strong SQL and experience working with large datasets.
- Exposure to manufacturing, industrial, or IoT data (production, quality, supply chain, or time-series/sensor data).
- Ability to communicate technical results to business stakeholders.
- Education: Graduates only (please ignore pursuing/drop out/12th or 10th pass)
Desired Qualifications
- Experience with deep learning or time-series forecasting frameworks (PyTorch, TensorFlow, Prophet).
- Familiarity with MLOps practices and tools (MLflow, model monitoring, CI/CD).
- Knowledge of manufacturing metrics and processes (OEE, yield, predictive maintenance, supply chain).
- Experience with a cloud platform (AWS, Azure, or GCP) and big-data tooling (Spark/Databricks).
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