Data Scientist

Role: Data Scientist Location: Grand-Prairie, Texas 75050 Work Model: Onsite (4 days a week work from office Mon - Thu) Duration: Fulltime Employee Numbers of Interview : 3 to 4 Mode of Interviews – Virtual Tentative start date – ASAP Note : Relocation assistance will be provided by Nagarro . USD $148,500 ($135,000 Base salary + 5% Organizational bonus + 5% Performance Bonus) + Benefits. (For the right candidate - please negotiate best, even if above $148,500, and submit) As part of our commitment to our employees, Nagarro provides a robust benefits package for full-time employees, which includes: Medical Coverage, Dental and Vision (100% Nagarro contribution for the employee, 80% contribution for immediate dependents). 15 days of Paid Time Off (PTO). 10 paid holidays (including 8 fixed holidays and 2 floating holidays). 401K enrollment with a 100% employee contribution (please note that we do not provide a matching contribution). Must Have: 5+ years of experience required as Data Scientist (No limit for a right candidate) 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. Job Overview: Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake. Strong communicator — able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders. Experience designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment. Good to have skills: · 2-4 years working in manufacturing domain. · 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. Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments. Solid grounding in statistical methods — time series, regression, clustering, and hypothesis testing applied to manufacturing quality problems.