Staff Engineer Data Scientist

Role: Data Scientist
Location: Grand-Prairie Texas 75050
Work Model: Onsite (4 days a week work from office Mon - Thu)
Duration: Fulltime Employee

Job Overview: 

• Manufacturing 810 years in manufacturing (optional) with hands-on experience in shop floor operations production planning and systems including MES SCADA and ERP. 
• Proficient in industrial protocols (OPC-UA MQTT Modbus) with ability to bridge OT/IT systems for real-time data extraction. 
• Applied experience with OEE Six Sigma SPC and lean methodologies to drive measurable gains in yield uptime and efficiency. 
• Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark Kafka Airflow and Delta Lake. Proficient in scikit-learn TensorFlow or PyTorch with experience moving models from prototype to production in industrial environments. 
• Strong communicator able to translate complex model outputs into clear actionable recommendations for operations and executive stakeholders. 
• Solid grounding in statistical methods time series regression clustering and hypothesis testing applied to manufacturing quality problems. 
• Experience designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment.

Qualifications :

Must Have:

• Minimum 6 years of experience as Data Scientist.
• 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.

Additional Information :

Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race creed color national origin sex age disability or marital status.

Remote Work :

No

Employment Type :

Full-time