Why this role stands out
This Data Scientist role offers significant opportunities to develop advanced ML models and contribute to impactful projects within a reputable company, perfect for experienced professionals seeking to expand their technical expertise. You'll enjoy a hybrid work model with four days in the office, allowing for focused collaboration and dedicated personal time, and will thrive by leveraging your strong SQL, Python, and cloud architecture skills. We encourage you to apply and explore this exciting career advancement.
Quick overview
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.
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