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  4. Click Websites.
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  1. Go to Settings.
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  5. At the top, turn on or off Allowed (recommended).
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Jobs or company...

Data Scientist -- Azure and ML!- W2 (H1B/OPT) Accepted

Salary undisclosed

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Dice
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Simplified

Job Title: Data Scientist -- Azure and ML Full-time

Location: Dallas, TX (Remote)

Duration: Long Term

Experience: 5-10 Years


We're searching for a skilled Data Scientist with expertise in Azure and Machine Learning (ML) to design, develop, and deploy data-driven solutions. You'll collaborate with data engineers, developers, and product managers to build and optimize predictive models and analytics solutions.

Responsibilities:

  • Design, develop, and deploy machine learning models and data pipelines on Azure.
  • Use Azure Machine Learning and other Azure services to build scalable AI solutions.
  • Analyze large datasets to identify trends, patterns, and actionable insights.
  • Collaborate with cross-functional teams to integrate ML models into applications and products.
  • Optimize and fine-tune models for performance, accuracy, and scalability.
  • Conduct experiments to test model hypotheses and validate findings.
  • Document and communicate findings, methodologies, and best practices to stakeholders.
  • Stay up-to-date with the latest advancements in data science, Azure technologies, and machine learning.

Qualifications:

  • 5+ years of experience as a Data Scientist, with a focus on machine learning and cloud computing.
  • Expertise in Azure Machine Learning, Azure Databricks, and other Azure data services.
  • Proficiency in programming languages such as Python, R, or Scala.
  • Strong knowledge of machine learning algorithms, statistical analysis, and data mining techniques.
  • Experience with big data tools and technologies (e.g., Spark, Hadoop).
  • Proficiency in version control systems (Git) and familiarity with CI/CD pipelines.
  • Excellent problem-solving, analytical, and quantitative skills.
  • Strong communication and collaboration skills.
  • Experience with MLOps and model deployment on cloud platforms is a plus.
  • Relevant certifications in Azure and machine learning (e.g., Microsoft Certified: Azure Data Scientist Associate) are a plus.

We look forward to meeting you!

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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