Azure Data Scientist - W2 (H1B/OPT) Accepted

Remote in Austin, TX, US • Posted 2 hours ago • Updated 1 minute ago
Full Time
Part Time
On-site
USD $40-50/hr
Fitment

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Job Details

Skills

  • Scalability
  • FOCUS
  • Databricks
  • Programming Languages
  • Python
  • R
  • Scala
  • Machine Learning (ML)
  • Algorithms
  • Statistics
  • Data Mining
  • Big Data
  • Apache Spark
  • Apache Hadoop
  • Version Control
  • Git
  • Continuous Integration
  • Continuous Delivery
  • Conflict Resolution
  • Problem Solving
  • Analytical Skill
  • Communication
  • Collaboration
  • Machine Learning Operations (ML Ops)
  • Cloud Computing
  • Data Science
  • Microsoft
  • Microsoft Azure

Summary

Job Title: Azure Data Scientist Full-time (H1B/OPT Accepted)

Location: Austin, TX (Remote)

Duration: Long Term

Experience: 5-10 Years



We're searching for a skilled Azure Data Scientist to design, develop, and implement advanced data science solutions using Microsoft Azure. You'll collaborate with data engineers, developers, and business stakeholders to leverage data for actionable insights and predictive models.

Responsibilities:

  • Design, develop, and deploy machine learning models using Azure Machine Learning services.
  • Analyze large datasets to identify trends, patterns, and insights that drive business decisions.
  • Collaborate with cross-functional teams to integrate data science solutions into products and services.
  • Optimize and fine-tune models for performance, accuracy, and scalability on Azure.
  • Use Azure Databricks, Azure Synapse, and other Azure tools for data preparation and analysis.
  • Conduct experiments to test and validate model hypotheses.
  • Document methodologies, processes, and results for internal and external stakeholders.
  • Stay up-to-date on the latest advancements in data science, machine learning, and Azure technologies.

Qualifications:

  • 5+ years of experience as a Data Scientist, with a focus on Azure cloud services.
  • Expertise in Azure Machine Learning, Azure Databricks, and other Azure data services.
  • Proficiency in programming languages such as Python, R, or Scala.
  • Strong understanding of machine learning algorithms, statistical analysis, and data mining techniques.
  • Experience with big data technologies (e.g., Spark, Hadoop) and data pipelines on Azure.
  • 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 practices and model deployment on cloud platforms is a plus.
  • Relevant certifications in Azure and data science (e.g., Microsoft Certified: Azure Data Scientist Associate) are a plus.

Note: We welcome applications from candidates on H1B or OPT visas.

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.
  • Dice Id: 91099353
  • Position Id: OOJ - 1510-511-1773151632
  • Posted 2 hours ago
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