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Data Scientist / Data EngineerArgyle Infotech • United States
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Data Scientist / Data Engineer

Argyle Infotech
  • US
    United States
  • US
    United States
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About

Data Scientist / Data Engineer
Location: Texas [Remote] Duration: Long Term Local Candidates Only Key Responsibilities: Design, build, and maintain scalable ETL/ELT pipelines for batch and real-time data. Optimize data architectures and storage solutions for performance and cost. Ensure data quality, integrity, and governance standards are upheld. Integrate data from diverse sources including APIs, databases, and third-party platforms. Collaborate with software engineers and DevOps to deploy data solutions in cloud environments (AWS, GCP, or Azure). Data Science: Perform exploratory data analysis and statistical modeling to derive insights. Build predictive models using machine learning techniques (e.g., regression, classification, clustering). Deploy and monitor ML models in production environments. Visualize and communicate findings to both technical and non-technical stakeholders. Develop A/B testing frameworks and experimentation analysis. Thanks & Regards, Mallesh
  • United States

Languages

  • English
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