Data Scientist

QTech; Grand Prairie (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

QTech in Grand Prairie, TX is seeking a Data Scientist to build scalable cloud data pipelines for high-volume manufacturing and IoT data, using Spark, Kafka, Airflow and Delta Lake.

The role requires strong communication to translate model outputs for operations and executives, plus experience designing A/B experiments and simulations to validate process changes before full deployment.

Qualifications

• 5+ years experience as Data Scientist (no strict limit for exceptional candidate).
• Strong SQL and Python with hands-on data lake/warehouse experience (Databricks/Snowflake/AWS/Azure).
• Proven track record deploying ML models for predictive maintenance, anomaly detection, and forecasting.

Responsibilities

• Build scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow and Delta Lake.
• Translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders.
• Design A/B experiments and simulations to validate process changes and quantify business impact before full deployment.

Skills

SQL

Python

ML modelling

Tools

Spark

Kafka

Airflow

Delta Lake

Databricks

Snowflake

AWS

Azure

Job description

Job Role: Data Scientist
Location: Grand-Prairie, TX
Duration: Long Term project
Full-Time Position

Job Description:

Data Scientist 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

Required Skills:

• 5+ years of experience required as Data Scientist (No limit of years of experience for a right candidate who is willing to work as a developer)
• 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.

Preferred 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.

Best Regards:
Sophia Sinclair
Phone: [phone]
Email: [e-mail]