Job Description

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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