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Job Overview:
- Requires 8–10 years of overall data science experience.
- Requires 2-4 years working in the manufacturing domain.
- Requires hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.
Data Engineering:
- Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.
- Requires strong SQL and Python proficiency with hands-on experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure.
Data Science:
- Proven track record building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis.
- Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments.
Nagarro
We are a Digital Product Engineering company that is scaling in a big way. We build products, services, and experiences that inspire, excite, and delight. We operate globally, with over 17000 experts across 39 countries, and foster a dynamic and non-hierarchical work culture.