Data Scientist - Manufacturing & IoT Predictive Analytics

No third-party C2C candidates. This is a direct hire full-time role.

Client is unable to sponsor visa at this time.

Relocation assistance will be provided by company.

This is a hybrid role with 4 days onsite/ 1 day remote

Must Have:

• 5+ years of experience required as Data Scientist (No limit for a right candidate)
• 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.