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Microsoft Data Scientist II 
India, Telangana, Hyderabad 
49574463

25.06.2024

Join the OneDrive-SharePoint (ODSP) team, a vital part of the Office M365 ecosystem, based in Hyderabad. This role offers a unique opportunity to be part of a multi-billion-dollar organization that handles 200M MAU and exabytes of customer data in the cloud. As a
Data Scientist

SharePoint is instrumental in aiding millions in collaborative efforts and enabling major companies worldwide to tackle mission-critical problems. We focus on developing global scale services to store, secure, and managehighly sensitivedata.

be at the forefront of our next-generation AI innovations aimed at delivering exceptional performance, scalability, reliability, and security through cloud-based distributed systems.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications:

  • Bachelor’s, Master’s, or PhD in Computer Science or equivalent.
  • 6+ years of experience in the data science field, proficient in languages such as Python, R, and SQL.
  • Strong experience in agile teams with a customer-focused approach.
  • Excellent communication and cross-group collaboration skills.
  • Experience in Azure or other cloud and distributed systems is highly valued.
  • Familiarity with advancements in large language models.
  • Experience in big data analysis.
  • Ability to think andoperateas a product-oriented data scientist.
  • Understanding ofMLOpsfor deploying ML models to production.
  • Proven ability to test and evaluate model performance.


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.

Preferred Qualifications:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
    • OR related field AND 1+ 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.
Responsibilities

As a Data Scientist, you will play a pivotal role in shaping the future of our products. Your responsibilities include:

  • Developing and refining ML systems, big data analysis, staying abreast of the latest advancements in large language models.
  • Thinking strategically like a product-oriented data scientist, understanding the broader business context and customer needs.
  • Assistingin deploying ML models to production, with an emphasis onMLOps.
  • Conducting thorough testing and evaluation of model performance to ensure efficiency and accuracy.
  • Overseeing the lifecycle of models from dataanalysis,creationto deployment, ensuring robustness and scalability.
  • Collaborating closely with product development and engineering teams to ensure high-quality design and architecture.
  • Mentoring and supporting the growth of colleagues in the field of data science, fostering a culture of learning and innovation.
  • Activelyparticipatingin creating and executing quality plans, test strategies, and processes.
  • Being self-driven, curious, proactive, andresult-oriented.