Nagarro

Nagarro

Staff Engineer - Data Scientist

Grand Prairie, Texas, United States · Staff+ · Full-time

Sponsorship not specifiedDetected 12 hours ago
PythonSQLSnowflakeDatabricksAWSKafkaMachine LearningTensorFlowPyTorchscikit-learnSparkAirflowData EngineeringData ScienceA/B TestingForecastingProcess ImprovementSCADADemand Planning

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odds of building a lasting career here

16Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

No strong sponsorship signal in the public record yet. In the full product we resolve the exact legal entity and show its filing history with a confidence score — treat as unverified until then.

Lottery odds assume a STEM candidate.

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About the role

  • Manufacturing 8-10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.
  • Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments.

Requirements

  • 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.
  • 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.

Nice to have

  • We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (18000 plus experts across 40 countries, to be exact).
  • Our work culture is dynamic and non-hierarchical.
  • That is where you come in!
  • Grand-Prairie, Texas 75050
  • Fulltime Employee

Company info

  • We are a Digital Product Engineering company that is scaling in a big way!
  • We are looking for great new colleagues.

This listing is sourced directly from Nagarro's careers page and normalized into a canonical job model.