Data Scientist II

Microsoft’s Cloud business is expanding, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the infrastructure underlying this growth including AI! CSCP’s vision is to empower customers to achieve more by delivering Cloud Capacity Differentiated at Scale. Our mission is to deliver capacity for all cloud services predictably through intelligent systems driven by continuous learning and a world class organization. The CSCP Organization is responsible for traditional supply chain functions such as Plan, Source, Make, Deliver, but also manages supportability (spares), decommissioning and disposition of Data center assets worldwide. We deliver the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Skype, OneDrive and the Microsoft Azure platform for external customers. Our infrastructure is comprised of a large global portfolio of more than 200 datacenters supporting services for more than 1 billion customers in over 90 countries worldwide.

The Capacity, Supply Chain & Provisioning Engineering (CSCP-E) group is an exciting and fast evolving engineering group within Microsoft that powers Microsoft’s Cloud-First mission. We are responsible for supporting the supply chain that powers Microsoft Azure’s cloud infrastructure. This is a great opportunity to join a dynamic team and influence the way one of the world’s largest and fastest growing cloud environments is built and supported. We are looking for a Senior Data Scientist to help us with a new project that has a lot of impact and visibility. The best fit candidate will blend Data Science and Software engineering skills with an ability to work across teams to build successful solution for a diverse set of stakeholders.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Minimum Qualifications

Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

And OR 

Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

• Experience with AI product integration and deployment in real-world scenarios. Prior experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel).
• Prior experience in time series forecasting. Prior experience with typical data management systems and tools such as SQL.
• Knowledge and ability to work within a large-scale computing or big data context, and hands-on experience with Hadoop, Spark, Synapse/DataBricks or similar.
• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid knowledge of theory and practice.
• Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git.
• Knowledge of supply chain models, Demand forecasting etc. will be a big plus.
• Familiarity with Microsoft technologies and platforms like Azure ML Ops, Azure AI Studio, Copilot Studio etc is a big plus.
• Strong Communication skills – written, oral as well as presentation skills Ability to influence without authority Ability to quickly learn unfamiliar technology areas

Preferred Qualifications

Master's Degree in Data Science, Mathematics, Statistics, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

#cscpjobs

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Be a self-starter with a demonstrated track record of providing technology vision and driving them through. • Develop Machine Learning models and solutions using classical algorithms as well as foundation models.  • Work closely with a variety of teams like partner data science, engineering, and UX teams.  • Collaborate with partner teams (both service and data science) to deliver end-to-end systems and experiences.  • Design, develop, and deliver high quality software that powers ever increasing demands of availability, reliability, security and performance at large enterprise scale • Convert complex design into solid implementations that scale and perform • Ensure solution delivered adheres to the technological standards established in the organization Dive into individual problem areas and guide the engineering team by making recommendations and best approaches. • Embody our Culture and Values