Staff Engineer - Data Scientist

Nagarro

$112K — $135K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Minimum 6 years of experience as a Data Scientist.
  • Strong SQL and Python proficiency with experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure.
  • Proven track record in building and deploying ML models for applications such as predictive maintenance and demand forecasting.

Responsibilities

  • Execute data science projects that enhance manufacturing processes.
  • Develop and maintain data pipelines for real-time data integration.
  • Bridge operational technology (OT) and information technology (IT) systems for data extraction.
  • Translate complex data insights into practical recommendations for stakeholders.
  • Validate process changes through A/B testing and simulations for informed decision-making.

Benefits

  • Onsite work model (4 days a week in the office, Mon-Thu).
  • Full-time employee position with job stability.
  • Opportunity to work in a cutting-edge manufacturing environment.
Full Job Description
Job Description

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 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 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

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