Quick Overview
Job Description
Job Role: Data Scientist
Location: Grand-Prairie, TX
Duration: Long Term project
Full-Time Position
Job Description:
Data Scientist 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
Required Skills:
5+ years of experience required as Data Scientist (No limit of years of experience for a right candidate who is willing to work as a developer)
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.
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.
Sophia Sinclair
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Skills
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