Senior Data Scientist (Manufacturing & Predictive Analytics)

Role: Data Scientist

Location: Grand-Prairie, Texas 75050

Work Model: Onsite (4 days a week, work from office Mon - Thu)

Duration: Full-time Employee

Number of Interviews: 3 to 4

Mode of Interviews – Virtual

Tentative start date – ASAP

Note: Relocation assistance will be provided by the client.

Must Have:

• 5+ years of experience required as a 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 the 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 the 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.