[Remote] Staff Engineer - Data Scientist

Note: The job is a remote job and is open to candidates in USA. Nagarro is a Digital Product Engineering company that builds products, services, and experiences across all devices and digital mediums. They are seeking a Data Scientist who will be responsible for manufacturing data analysis, building scalable cloud data pipelines, and translating complex model outputs into actionable recommendations for stakeholders.ResponsibilitiesManufacturing 8–10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERPProficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extractionApplied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiencyData Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta LakeProficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environmentsStrong communicator — able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholdersSolid grounding in statistical methods — time series, regression, clustering, and hypothesis testing applied to manufacturing quality problemsExperience designing A/B experiments and simulations to validate process changes and quantify business impact before full deploymentSkillsMinimum 6 years of experience as Data ScientistStrong SQL and Python proficiency with hands-on experience in medallion/lakehouse architectures on Databricks, Snowflake, AWS, or AzureProficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extractionApplied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiencySkilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta LakeProficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environmentsStrong communicator — able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholdersSolid grounding in statistical methods — time series, regression, clustering, and hypothesis testing applied to manufacturing quality problemsExperience designing A/B experiments and simulations to validate process changes and quantify business impact before full deploymentProven track record building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysisManufacturing 8–10 years in manufacturing with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERPCompany OverviewNagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. It was founded in 1996, and is headquartered in Munich, Bayern, DEU, with a workforce of 10001+ employees. Its website is http://www.nagarro.com.Company H1B SponsorshipNagarro has a track record of offering H1B sponsorships, with 21 in 2026, 189 in 2025, 261 in 2024, 280 in 2023, 240 in 2022, 153 in 2021, 240 in 2020. Please note that this does not guarantee sponsorship for this specific role.