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!