Data Scientist

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Published Title

Manufacturing Data Engineer

Published Summary

Are you an experienced data professional looking to revolutionize modern production systems? A premier industrial innovation company is seeking a talented Data Engineer to build highly scalable cloud pipelines and translate complex data into actionable operational strategies. Join a forward-thinking team where your expertise in IoT data and advanced analytics will directly influence large-scale manufacturing efficiency and business growth. This is a permanent, direct-hire opportunity that offers a comprehensive benefits package including medical, dental, and vision coverage.

Responsibilities

As a key driver of our client's data strategy, a typical day in this role will involve:

Designing, building, and maintaining robust cloud-based data pipelines to seamlessly process high-volume IoT and continuous manufacturing data streams.

Translating intricate machine learning model outputs and complex analytics into clear, strategic recommendations for shop floor operations teams and executive leadership.

Developing and executing A/B experiments and digital simulations to validate proposed process modifications before wide-scale production rollout.

Partnering with cross-functional technical and business units to quantify the real-world impact of data-driven process improvements.

Qualifications

Must-Haves:

Proven expertise in data engineering, specifically building and scaling cloud pipelines using modern frameworks.

Hands-on experience working with tools such as Spark, Kafka, Airflow, and Delta Lake for high-volume data architecture.

Exceptional communication and storytelling skills, with the ability to bridge the gap between deep technical data outputs and high-level business strategy.

Demonstrated experience designing A/B tests, hypothesis testing, and operational simulations.

Nice-to-Haves:

Two to four years of professional background working directly within the manufacturing, supply chain, or industrial domains.

Familiarity with shop floor operations and systems such as MES, SCADA, and ERP platforms.

Working knowledge of industrial communication protocols (OPC-UA, MQTT, Modbus) to bridge OT and IT systems.

Practical application of lean methodologies, Six Sigma, SPC, and OEE to drive measurable gains in yield and uptime.

Experience moving predictive models from prototype to production using scikit-learn, Tensor Flow, or PyTorch.

A strong foundation in advanced statistical methods, including time series analysis, regression, and clustering for manufacturing quality control.

Skills

Cloud Data Pipelines

Apache Spark & Kafka

Airflow & Delta Lake

IoT Data Processing

A/B Testing & Simulation

Executive Communication

OT/IT System Integration

Industrial Protocols (OPC-UA, MQTT, Modbus)

Machine Learning Deployment (Tensor Flow, PyTorch)

Statistical Modeling & Lean Methodologies

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.

Must-Haves:

Proven expertise in data engineering, specifically building and scaling cloud pipelines using modern frameworks.

Hands-on experience working with tools such as Spark, Kafka, Airflow, and Delta Lake for high-volume data architecture.

Exceptional communication and storytelling skills, with the ability to bridge the gap between deep technical data outputs and high-level business strategy.

Demonstrated experience designing A/B tests, hypothesis testing, and operational simulations.

Nice-to-Haves:

Two to four years of professional background working…