Data Scientist - Azure ML Ops & Databricks

The Role:

Data Scientist - Azure ML Ops & Databricks

Your responsibilities:

 Data Analysis & Modeling:

o Utilize Python for advanced data analysis, exploration, and processing to uncover actionable insights.

o Develop and implement machine learning models and algorithms using Python, Azure Machine Learning, and Databricks.

 ML Ops & Deployment:

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

 Collaboration & Business Alignment:

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

 Data Engineering & Governance:

o Develop and maintain large-scale data models to support analytics and reporting needs.

o Ensure data quality and integrity through effective data governance and validation processes.

 Platform Expertise:

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

 Continuous Improvement:

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

 Domain Knowledge:

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

Your Profile

 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