Data Scientist - Azure ML Ops & Databricks

Data Scientist - Azure ML Ops & Databricks, * Data Analysis & Modeling:

• Utilize Python for advanced data analysis, exploration, and processing to uncover actionable insights.
• Develop and implement machine learning models and algorithms using Python, Azure Machine Learning, and Databricks.

• ML Ops & Deployment:

• Manage and optimize ML Ops processes within the Azure environment, ensuring efficient deployment, monitoring, and maintenance of models.

• Collaboration & Business Alignment:

• Work closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.

• Data Engineering & Governance:

• Develop and maintain large-scale data models to support analytics and reporting needs.
• Ensure data quality and integrity through effective data governance and validation processes.

• Platform Expertise:

• Utilize Databricks for advanced data processing and analytics, ensuring scalability and performance.

• Continuous Improvement:

• Stay updated with the latest advancements in data science, machine learning, and cloud technologies to apply best practices.

• Domain Knowledge:

• Preferable experience in relevant domain(s) to enhance solution accuracy and business impact.

• Strong proficiency in Python for data analysis and machine learning.
• Hands-on experience with Azure Machine Learning, ML Ops, and Databricks.
• Solid understanding of machine learning algorithms, data modeling, and statistical techniques.
• Experience in managing large-scale data sets and building scalable solutions.
• Knowledge of data governance and validation best practices.
• Excellent problem-solving, analytical, and communication skills.

Desirable skills/knowledge/experience: 10+ years of Experience