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Full Time- Data Scientist - Grand Prairie, TX

Digital Janet LLCGrand Prairie, TX🇺🇸United StatesPosted 31 Jul 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

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

Mode of Interviews – Virtual

Tentative start date – ASAP

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 DatabricksSnowflakeAWS, 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. 

 

Regards,

Deepak Kumar

Skills

SQL
AWS
Scikit-learn
Snowflake
Airflow
Azure
Databricks
IoT
Kafka
PyTorch
Python
TensorFlow

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