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Job Details

Skills

Amazon Web Services
Apache Kafka
Machine Learning (ML)
Manufacturing
TensorFlow
Root Cause Analysis
Databricks
Data Science

Summary

5+ years of experience required 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.
Job Overview:

Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.
Strong communicator able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders.
Experience designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment.

Good to have skills:

2-4 years working in manufacturing domain.
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.
Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments.
Solid grounding in statistical methods time series, regression, clustering, and hypothesis testing applied to manufacturing quality problems.

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: 9042885
Posted 5 hours ago

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Harry Singh

Recruiter @ PeopleNTech

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