Senior Staff Engineer – Data Scientist
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Job Description
Senior Data Scientist with 8-10 years experience in data science and 2-4 years in manufacturing. Responsible for building scalable data solutions and deploying ML models in remote work setting.
Responsibilities:
- Work as a Data Science Engineer / Data scientist
- Collaborate with teams on shop floor operations, production planning
- Build scalable cloud data pipelines
- Build and deploy ML models for various applications
- Translate complex model outputs into clear recommendations
- Engage with stakeholders to improve manufacturing quality
Requirements:
- 8–10 years of overall data science experience required
- 2-4 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)
- 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
- 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
- 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
- Experience moving models from prototype to production in industrial environments
- Strong 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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