Data & Applied Scientist

Key Skills

Apache Hive, Azure, Big Data Technology, C Programming, C# Programming, C++, Data Lake, Data science techniques, Data Visualization, Databricks, ETL/ELT technologies, JavaScript, Machine learning techniques, PowerBI, Python Programming, SQL, Tableau

Job Description

Overview:

Microsoft’s Cloud business is experiencing explosive growth, and the Capacity, Supply Chain & Provisioning (CSCP) organization is responsible for enabling the infrastructure underlying this growth. Our mission is to deliver the world’s computer with an industry-leading supply chain. CSCP is responsible for strategic sourcing, customer demand forecasting, capacity planning and management, supply chain planning and execution, capacity provisioning, and decommissioning and dispositioning of datacenter assets worldwide.

Within Azure Hardware Systems & Infrastructure, the Spares and Warranty team is responsible for ensuring that the right spare parts are in the right place, at the right time in support of delivering global capacity requirements. SWOps is undergoing a supply chain transformation to optimally manage the spares and warranty from a serviceability and cost point of view.

We are looking for high-energy individuals who are passionate about using data to improve customer experiences and business performance.

Required Qualifications:

• Bachelor’s degree in Computer science or related disciplines.
• 5+ years of professional experience of software design and programming with languages like C/C++/C#/Java/Python/JavaScript libraries.
• Experience with data visualization tools like Power BI, Tableau or equivalent.
• Design, develop, and maintain data pipelines, back-end, and front-end services for reporting, monitoring, analysis, and related functions.
• Advanced working knowledge of SQL  
• Experience in developing applications in the cloud using technologies such as Databricks, Spark, Azure Synapse or similar.

Preferred Qualifications:

• Experience with supply chain analytics and modeling techniques.

• Experience with big data technologies such as Azure Data Lake, Databricks, Hive, Spark, or Scope.

• Data science knowledge and experience with Azure Machine Learning.

• Experience developing and deploying ML models to solve real-world problems. 

• Experience with SAP ECC, OER, IBP modules is desirable.

• Experience in High-tech Supply Chain, Reverse Logistics, or Service Parts industry is a plus.

Responsibilities:

• Develop robust reporting and insights while enabling the ability for self-service reporting of key business performance metrics
• Use agile development principles to produce continuous value while readily adapting to change
• Co-own the ongoing development of the CPOD Spares & Warranty Pulse as the intelligent cockpit for the Spares & Warranty business
• Own the ETL approach and execution for acquiring data from multiple and disparate sources
• Leverage a deep understanding of supply chain fundamentals to proactively collect data, analyze and provide insights that drive improved service parts business performance
• Leverage a pattern-based approach to analyze and discover hidden patterns in the data that unlock new insights that optimize business performance
• Manage and maintain a SQL-on-Azure instance to support aggregation of data and 100+ reports
• Participate in a bi-weekly scrum process to deliver prioritized and ad-hoc features specific to reporting and analysis
• Build strong working relationships across multiple internal disciplines and teams
• Leverage deep expertise with SQL and PowerBI and other relevant tools & technologies to perform rapid ad-hoc insights requests for CVP-level audiences
• Engineer, execute, and then refine process and tool models to improve operational efficiency and enable scale for service parts operations by providing rich insights that enable prompt and measurable improvement to key performance indicators
• Design, develop, and document architectural solutions and processes
• Develop next generation of analytics and statistical models to enable a 10x growth in throughput while reducing cycle time and variation. Proactively identify continuous improvement to the deployment process and acts as a leader to drive resulting initiatives.
• Design, develop, and maintain data pipelines, back-end, and front-end services for reporting, monitoring, analysis, and related functions.