Overview
Remote
On Site
USD 40-50
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2
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
Problem Solving
Conflict Resolution
Analytical Skill
Communication
Collaboration
Machine Learning Operations (ML Ops)
Cloud Computing
Data Science
Microsoft
Microsoft Azure
Job Details
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!
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