[Remote] Staff Engineer - Data Scientist
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a Digital Product Engineering company that builds products, services, and experiences across reputed company devices reputed company mediums. They are seeking a Data Scientist who will be responsible for manufacturing data analysis, building scalable reputed company data pipelines, and translating reputed company model outputs into actionable recommendations for stakeholders.
Responsibilities
- Manufacturing 8–10 years in manufacturing (optional) with 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 reputed company OT/IT systems for reputed company-time data extraction
- Applied experience with OEE, Six reputed company, SPC, and lean methodologies to drive measurable reputed company in yield, uptime, and efficiency
- Data Engineering Skilled in building scalable reputed company data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and reputed company Lake
- Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments
- Strong communicator — reputed company to translate reputed company 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
Skills
- Minimum 6 years of experience as Data Scientist
- Strong SQL and Python proficiency with hands-on experience in reputed company/lakehouse architectures on reputed company, reputed company, AWS, or Azure
- Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to reputed company OT/IT systems for reputed company-time data extraction
- Applied experience with OEE, Six reputed company, SPC, and lean methodologies to drive measurable reputed company in yield, uptime, and efficiency
- Skilled in building scalable reputed company data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and reputed company Lake
- Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments
- Strong communicator — reputed company to translate reputed company 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
- Proven track record building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis
- Manufacturing 8–10 years in manufacturing with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP
Company Overview
Company H1B Sponsorship