Microsoft Hiring for Senior Data Scientist at Bihar, India

Microsoft’s Cloud business is experiencing explosive growth, and the Cloud Supply Chain (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.

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.

Responsibilities

Be a self-starter with a demonstrated track record of providing technology vision and driving them through.

• 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.
• Work closely with a variety of teams like partner data science, engineering, and UX teams. 
• Develop Machine Learning models and solutions using classical algorithms as well as foundation models. 
• Embody our Culture and Values

Qualifications

Required:

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

OR 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)

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.

Preferred

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 8+ 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

Understand basic applied cryptography

Communication skills – written, oral as well as presentation skills

Ability to lead/influence without authority

Ability to quickly learn unfamiliar technology areas

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.