Data Science Engineer / Data scientist / Manufacturing Data Scientist

Remote • Posted 9 hours ago • Updated 9 hours ago

Contract Independent

Contract W2

Occasional Travel Required

Remote

$60 - $70/hr

Fitment

Dice Job Match Score™

🎯 Assessing qualifications...

Job Details

Skills

MES
Data Science
Enterprise Resource Planning
Manufacturing
IoT
Python
PyTorch
Production Planning
OPC
OEE
SCADA
Statistical Process Control
scikit-learn
Time Series
TensorFlow
MQTT
Data Engineering
Databricks
Six Sigma
OT/IT
OPC-UA
Modbus

Summary

Job Description:

8 10 years of overall data science experience required along with 4-5 years working in manufacturing domain.
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.
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.
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.

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: 10302987
Position Id: 8916971
Posted 9 hours ago

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