Staff Engineer - Data Scientist

Nagarro

$112K — $135K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Minimum 6 years of experience as a Data Scientist.
  • Proficiency in SQL and Python with hands-on expertise in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure.
  • Proven ability to build and deploy ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis.
  • Experience in manufacturing environments and systems (optional) such as MES, SCADA, and ERP.
  • Strong communication skills for translating complex data outputs to stakeholders.

Responsibilities

  • Evaluate manufacturing processes to identify areas for efficiency improvement.
  • Design and implement cloud data pipelines for high-volume manufacturing data.
  • Develop and deploy machine learning models focused on predictive maintenance and anomaly detection.
  • Analyze operational data using statistical methods to address manufacturing quality issues.
  • Conduct A/B tests and simulations to assess process changes before implementation.

Benefits

  • Opportunity for professional development in cutting-edge data science technologies.
  • Work onsite 4 days a week, promoting team collaboration and engagement.
  • Involvement in impactful projects that drive measurable gains in manufacturing efficiency.
  • Access to advanced tools and platforms for data engineering and machine learning.
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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