Microsoft Senior Data Scientist 

India 

83591704

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.

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

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