Data Science Engineer

Role: Data Science Engineer / Data Scientist (1099 Only) Job Type: Contract Location: Easton, Pennsylvania Duration: 12 Months (Extension Possible) Work Model: Hybrid (Local or willing to relocate) / Remote with travel across the USA About the Role We are seeking an experienced Data Science Engineer / Data Scientist with strong expertise in manufacturing analytics and industrial data systems. This role focuses on leveraging data engineering and machine learning to drive efficiency, predictive insights, and optimization across shop floor operations and enterprise systems. Key Responsibilities • Develop and deploy data science solutions for manufacturing use cases such as predictive maintenance, anomaly detection, and demand forecasting • Work closely with shop floor teams to understand production planning, operations, and system workflows (MES, SCADA, ERP) • Build scalable data pipelines for high-volume IoT and manufacturing data • Integrate OT (Operational Technology) and IT systems for real-time data extraction using industrial protocols • Apply statistical and ML techniques to improve yield, uptime, and operational efficiency • Design and execute experiments (A/B testing, simulations) to validate process improvements • Collaborate with stakeholders to translate data insights into actionable business decisions • Support deployment, monitoring, and optimization of ML models in production environments Required Skills • Strong experience in Python and SQL • Hands-on expertise with Spark, Kafka, Airflow, Delta Lake • Experience with Databricks, Snowflake, AWS, or Azure • Knowledge of industrial protocols: OPC-UA, MQTT, Modbus • Strong foundation in machine learning frameworks (scikit-learn, TensorFlow, PyTorch) • Expertise in statistical methods (time series, regression, clustering, hypothesis testing) • Experience with manufacturing systems (MES, SCADA, ERP) Preferred Qualifications • 8–10 years of overall data science experience • 4–5 years in the manufacturing domain • Experience with OEE, Six Sigma, SPC, and Lean methodologies • Proven track record of deploying ML models in production environments • Experience working with IoT and real-time data processing systems Soft Skills • Strong communication and stakeholder management skills • Ability to translate complex data insights into business recommendations • Analytical thinking and problem-solving mindset • Ability to work cross-functionally with engineering, operations, and leadership teams • Detail-oriented with strong execution focus Primary Skills • Data Science & Machine Learning • Data Engineering (Big Data & Streaming) • Manufacturing Analytics • Cloud Data Platforms • Industrial IoT Integration Specialization • Smart Manufacturing / Industry 4.0 • Predictive Maintenance & Anomaly Detection • Data Pipeline Architecture • Advanced Analytics for Operations Optimization