Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Grand Prairie, TX, United States
Posted
21 hours ago
SQLAWSScikit-learnSnowflakeAirflowAzureDatabricksIoTKafkaPyTorchPythonTensorFlow
Job Description
Role: Data Scientist
Location: Grand-Prairie, Texas 75050
Work Model: Onsite (4 days a week work from office Mon - Thu)
Duration: Fulltime Employee
Note: Relocation assistance will be provided by Client.
As part of our commitment to our employees, Client provides a robust benefits package for full-time employees, which includes:
- Medical Coverage, Dental and Vision (100% Client 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
- 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.
Please share resume at
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