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!

Requirements