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Job Details

Skills

Product Engineering
eXist
Production Planning
MES
SCADA
Enterprise Resource Planning
OPC
MQTT
Modbus
Real-time
Data Extraction
OEE
Six Sigma
Statistical Process Control
Lean Methodology
Data Engineering
Cloud Computing
IoT
Apache Spark
Apache Kafka
scikit-learn
TensorFlow
PyTorch
Time Series
Regression Analysis
Clustering
Testing
Manufacturing
SQL
Python
Databricks
Snow Flake Schema
Amazon Web Services
Microsoft Azure
Data Science
Machine Learning (ML)
Demand Forecasting
Root Cause Analysis

Product Engineering
eXist
Production Planning
MES
SCADA
Enterprise Resource Planning
OPC
MQTT
Modbus
Real-time
Data Extraction
OEE
Six Sigma
Statistical Process Control
Lean Methodology
Data Engineering
Cloud Computing
IoT
Apache Spark
Apache Kafka
scikit-learn
TensorFlow
PyTorch
Time Series
Regression Analysis
Clustering
Testing
Manufacturing
SQL
Python
Databricks
Snow Flake Schema
Amazon Web Services
Microsoft Azure
Data Science
Machine Learning (ML)
Demand Forecasting
Root Cause Analysis

Summary

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (17000 plus experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Role: Data Scientist
Location: Remote, USA
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

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183489
Position Id: 88336740dea939f70283b83ad81c62dd
Posted 5 hours ago

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