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

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

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Dallas, Texas, United States
Classification symbol Information Technology
H-1B
Job posted on May 19, 2025
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Job Description:
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Xcelo Group Inc, is seeking the following. Apply via Dice today!

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!
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