Data Scientist

Role: Data Scientist

Job Type: Contract (W2)

Location: USA (Remote with travel)

Duration: 6 Months (Extension Possible)

Work Model: Remote (USA) with 25%–30% travel required across the USA

About the Role

We are looking for a highly experienced Data Scientist with a strong background in manufacturing and industrial systems. The role involves building scalable data solutions, deploying machine learning models, and enabling real-time analytics to improve shop floor operations, production efficiency, and overall business outcomes. The candidate will work closely with cross-functional teams and bridge OT and IT systems.

Key Responsibilities

• Develop and deploy ML models for predictive maintenance, anomaly detection, demand forecasting, and 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 OEE, SPC, Six Sigma, and lean methodologies to improve production efficiency
• Work with industrial protocols such as OPC-UA, MQTT, and Modbus
• Perform statistical analysis including time series, regression, clustering, and hypothesis testing
• Design and conduct A/B experiments and simulations to validate process improvements
• Translate complex data insights into actionable business recommendations
• Collaborate with engineering, operations, and leadership teams

Required Skills

• 8–10 years of experience as a Data Scientist
• Strong proficiency in Python and SQL
• Hands-on experience with Spark, Kafka, Airflow, and Delta Lake
• Experience with cloud platforms such as AWS, Azure, Databricks, or Snowflake
• Strong understanding of statistical methods and machine learning techniques
• Experience deploying ML models into production environments
• Knowledge of MES, SCADA, and ERP systems

Preferred Qualifications

• 2–3 years of experience in manufacturing or industrial environments
• Experience with IoT and real-time data streaming
• Familiarity with lean manufacturing and Six Sigma practices
• Experience working with large-scale production data systems

Soft Skills

• Strong communication and presentation skills
• Ability to translate technical insights into business outcomes
• Problem-solving and analytical thinking
• Adaptability and flexibility
• Strong collaboration and stakeholder management

Primary Skills

• Machine Learning
• Data Engineering
• Python & SQL
• Industrial Data Systems (MES, SCADA, ERP)
• Cloud Platforms (AWS, Azure, Databricks, Snowflake)

Specialization

Manufacturing Analytics / Industrial Data Science / IoT & Predictive Maintenance