Azure Data Scientist

As an Azure Data Scientist, Assistant Manager, you will be focusing on architecting solutions and managing client engagement teams, working with a wide variety of clients to deliver tech consulting services, and managing business development activities on strategic and global priority accounts.

Skills And Attributes For Success

• Understanding clients’ data strategy, business priorities, and success measures to provide context for designing and building models.

• Translating business requirements to Data Science solutions leveraging strong business acumen.

• Applying technical knowledge to architect solutions that meet business needs, AA/AI roadmaps, and contributing to architectures that enable the ability to scale to support additional modeling use cases (e.g., Azure ML, Azure Data Lake, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure SQL, Azure EventHub/IoT Hub, etc.)

• Collaborating with Microsoft Cloud Solution Architects and Data Platform Engineers in developing complex end-to-end Enterprise solutions on Microsoft Azure platform.

• Designing machine learning pipelines that curate datasets, train, test, and validate models, compare model performance to existing or previously catalogued models, and then package the models and either deploy them to a real-time serving layer or handle batch scoring activities.

• Foster collaboration between DevOps and data science teams within organizations to build MLOps practices • Ability to conduct data profiling, cataloguing, and data mapping for technical design using a use case-based approach that drives the construction of technical data flows.

Primary skill

• Azure Synapse, Azure Data Factory, Azure Data Lake and Deltalake ,Databricks / Spark, Python or Scala (Python preferred). 
• Database migration from legacy systems to new solution.
• Azure Analysis Services,Data Modeling, Power BI. Design conceptual, logical and physical data models using tools like ER Studio, Erwin