Overview
Remote
On Site
USD 60-70
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Skills
Analytics
Artificial Intelligence
Scalability
Data Science
FOCUS
Databricks
Programming Languages
Python
R
Scala
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
Machine Learning (ML)
Microsoft
Microsoft Azure
Job Details
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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