Staff Engineer - Data Scientist (Manufacturing)

TL;DR

Staff Engineer - Data Scientist (Manufacturing): Developing ML models for predictive maintenance, anomaly detection, and demand forecasting within industrial environments with an accent on bridging OT/IT systems and optimizing shop floor operations. Focus on building scalable cloud data pipelines for high-volume IoT data and translating complex model outputs into actionable business recommendations.

Location: Grand Prairie, Texas, United States. Onsite (4 days a week work from office Mon-Thu)

Company

A Digital Product Engineering company specializing in building products, services, and experiences across various digital mediums with a global team of experts.

What you will do

• Build and deploy ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis.
• Develop scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.
• Bridge OT/IT systems for real-time data extraction using industrial protocols like OPC-UA, MQTT, and Modbus.
• Apply OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency.
• Design A/B experiments and simulations to validate process changes and quantify business impact before full deployment.
• Translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders.

Requirements

• Minimum 6 years of experience as a Data Scientist.
• Strong proficiency in SQL and Python.
• Hands-on experience with medallion/lakehouse architectures on Databricks, Snowflake, AWS, or Azure.
• Proven track record of building and deploying ML models in industrial environments.
• Must be based in or able to work onsite in Grand Prairie, Texas (4 days per week).

Nice to have

• 8–10 years of experience in manufacturing with knowledge of shop floor operations, production planning, MES, SCADA, and ERP.
• Proficiency in scikit-learn, TensorFlow, or PyTorch.
• Solid grounding in statistical methods including time series, regression, clustering, and hypothesis testing.

Culture & Benefits

• Dynamic and non-hierarchical work culture.
• Inclusive environment that celebrates diversity and equal opportunity.
• Opportunity to work within a scaling global organization with experts across 40 countries.