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Data Scientist (Full time)

Tekaccel, IncTX🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationTX, United States
SQLAWSScikit-learnSnowflakeAirflowDatabricksIoTKafkaPyTorchPythonTensorFlowAzureDelta Lake

Job description

Hi Jobseekers,

I hope you are doing well!

We have an excellent opportunity with one of our clients and would like to share the details with you. Please find the job description below and let me know if this role interests you.

If you would like to proceed, kindly share a copy of your updated resume along with your contact details and a convenient time for us to connect.

Role: Data Scientist
Location: Grand-Prairie, Texas 75050
Duration: Fulltime

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.
  • Solid grounding in statistical methods - time series, regression, clustering, and hypothesis testing applied to manufacturing quality problems.

Thanks & Regards

Shankar Singh

E:

Website:

Tekaccel, Inc.

2601 Little Elm Pkwy,

Suite # 1804,

Little Elm, TX 75068

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