Data Scientist

Data Scientist (Contract, W2)

Location: USA (Remote) with 25%–30% travel across the United States
Duration: 6 months (extension possible)

Role Overview

Build scalable data solutions and deploy machine learning models to enable real-time analytics for manufacturing and shop floor operations. You will bridge OT and IT systems, working with cross-functional teams to improve production efficiency and business outcomes.

Responsibilities

• Develop and deploy ML models for:
  • Predictive maintenance
  • Anomaly detection
  • Demand forecasting
  • Root cause analysis
• Build scalable data pipelines for high-volume manufacturing and IoT data
• Integrate data from MES, SCADA, and ERP systems for real-time analytics
• Apply manufacturing improvement methods such as OEE, SPC, Six Sigma, and Lean
• Work with industrial/OT protocols: OPC-UA, MQTT, Modbus
• Perform statistical analysis (e.g., time series, regression, clustering, hypothesis testing)
• Design and conduct A/B experiments and simulations to validate improvements
• Translate insights into actionable business recommendations
• Collaborate with engineering, operations, and leadership stakeholders

Required Skills

• 8–10 years experience as a Data Scientist
• Proficiency in Python and SQL
• Hands-on experience with Spark, Kafka, Airflow, Delta Lake
• Cloud experience with AWS, Azure, Databricks, or Snowflake
• Strong understanding of ML and statistical methods
• Experience deploying ML models into production
• Familiarity with MES, SCADA, and ERP

Preferred Qualifications

• 2–3 years in manufacturing/industrial environments
• IoT and real-time streaming experience
• Exposure to Lean manufacturing and Six Sigma
• Experience with large-scale production data systems

Soft Skills

• Strong communication and presentation skills
• Ability to translate technical findings into business outcomes
• Analytical problem-solving and flexibility
• Collaboration and stakeholder management