Role overview: Nagarro is seeking a Data Scientist to join our team in Grand Prairie, Texas. The role focuses on building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake, and on designing ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis. The candidate must have 5+ years of experience, strong SQL and Python skills, and hands-on experience with medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure. Experience in manufacturing and familiarity with MES, SCADA, and ERP systems is a plus. Proficiency in scikit-learn, TensorFlow, or PyTorch, and a track record of moving models from prototype to production in industrial environments are desirable.

Responsibilities include: - Building scalable data pipelines for manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake. - Translating complex model outputs into clear, actionable recommendations for operations and executive stakeholders. - Designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment.

Must-have qualifications: - 5+ years of experience as a Data Scientist. - Strong SQL and Python proficiency. - Hands-on experience with Databricks, Snowflake, AWS, or Azure. - Proven ability to build and deploy ML models for predictive maintenance, anomaly detection, and

Role overview: Nagarro is seeking a Data Scientist to join our team in Grand Prairie, Texas. The role focuses on building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake, and on designing ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis. The candidate must have 5+ years of experience, strong SQL and Python skills, and hands-on experience with medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure. Experience in manufacturing and familiarity with MES, SCADA, and ERP systems is a plus. Proficiency in scikit-learn, TensorFlow, or PyTorch, and a track record of moving models from prototype to production in industrial environments are desirable.

Responsibilities include: - Building scalable data pipelines for manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake. - Translating complex model outputs into clear, actionable recommendations for operations and executive stakeholders. - Designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment.

Must-have qualifications: - 5+ years of experience as a Data Scientist. - Strong SQL and Python proficiency. - Hands-on experience with Databricks, Snowflake, AWS, or Azure. - Proven ability to build and deploy ML models for predictive maintenance, anomaly detection, and