Title / Designation Data Science Engineer / Data scientist
Experience Required Overall: 8-10 years
Domain Experience Manufacturing 4-5 Years
Duration- 12 months Extension possible
Base Location - Easton Pennsylvania
Work Model Onsite Hybrid who are local or willing to relocate / Remote with travel across the USA is also an option
Tentative start date ASAP
Job Description:
- 8 10 years of overall data science experience required along with 4-5 years working in manufacturing domain.
- Hands-on 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.
- Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark Kafka Airflow and Delta Lake.
- 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.
- Proficient in scikit-learn TensorFlow or PyTorch with experience moving models from prototype to production in industrial environments.
- Strong communicator - able to translate complex model outputs into clear actionable recommendations for operations and executive stakeholders.
- Solid grounding in statistical methods - time series regression clustering and hypothesis testing applied to manufacturing quality problems.
- Experience designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment.
Title / Designation Data Science Engineer / Data scientist Experience Required Overall: 8-10 years Domain Experience Manufacturing 4-5 Years Duration- 12 months Extension possible Base Location - Easton Pennsylvania Work Model Onsite Hybrid who are local or willing to relocate / Rem...
Title / Designation Data Science Engineer / Data scientist
Experience Required Overall: 8-10 years
Domain Experience Manufacturing 4-5 Years
Duration- 12 months Extension possible
Base Location - Easton Pennsylvania
Work Model Onsite Hybrid who are local or willing to relocate / Remote with travel across the USA is also an option
Tentative start date ASAP
Job Description:
- 8 10 years of overall data science experience required along with 4-5 years working in manufacturing domain.
- Hands-on 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.
- Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark Kafka Airflow and Delta Lake.
- 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.
- Proficient in scikit-learn TensorFlow or PyTorch with experience moving models from prototype to production in industrial environments.
- Strong communicator - able to translate complex model outputs into clear actionable recommendations for operations and executive stakeholders.
- Solid grounding in statistical methods - time series regression clustering and hypothesis testing applied to manufacturing quality problems.
- Experience designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment.
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