Senior Data Scientist

1 Hour ago • 5-12 Years • Data Analyst

Job Summary

Job Description

The Senior Data Scientist will directly impact billions through code running across thousands of machines globally. This role involves building and leading teams, developing next-generation engineering infrastructure using AI to improve developer productivity and efficiency for strategic workloads like M365 Copilot App, Outlook, and Teams. Responsibilities include data ingestion, curation, generating insights, fine-tuning prompts, creating evaluation metrics, building SLMs, and infusing AI into productivity scenarios. Collaboration with other Microsoft teams building AI platforms, models, and products is essential. The ideal candidate is self-driven, proactive, results-oriented, and comfortable with rapid change and building products from scratch. Experience with highly scalable classifiers, ranking algorithms, SLMs, LLMs, and RLHF is a plus.
Must have:
  • 5+ years data science experience
  • Manage structured/unstructured data
  • Apply statistical techniques
  • Strong communication & collaboration
  • AI research or software services experience
  • Customer focus
  • Meet Microsoft security screening requirements
Good to have:
  • Experience with highly scalable classifiers, ranking algorithms, SLMs, LLMs, Finetuning with RLHF

Job Details

Overview

How would you like to directly affect the lives of billions of humans? Would you like to be responsible for code running across tens of thousands of machines across datacenters around the world? What if you could multiply your impact by making developers around the world better? If you like building highly motivated and productive teams, we have got interesting opportunities for you.

 

Who we are 

 

Our team focuses on strategic workloads like M365 Copilot App, Outlook, Teams, Copilot Extensibility, and so on. In addition, the team obsesses about building next generation engineering infrastructure, tooling and process using AI for improving developer productivity and engineering efficiency. This provides every engineer with exceptional opportunities for rich learning, end-to-end ownership, autonomy, innovation and professional growth. 

 

Our team of Applied Scientists is chartered to tackle a wide variety of challenges, from building data ingestion to curating data for fine tuning to generating actionable insights to fine tune prompts to come up with evaluation metrics to make purpose-built SLMs to infuse AI in productivity scenarios to create AI tooling. Every member of this team is expected to collaborate with other teams across Microsoft that are building AI platforms, models and products. She is expected to lead the feature crews with a growth mindset for embracing and extending the rapidly evolving innovations and breakthroughs in this field.  

 

Microsoft is committed to Responsible AI and digital safety for all. Every member of the team is expected to work through these frameworks to preserve our commitment to responsible AI while innovating rapidly. She needs to be self-driven, proactive, results-oriented and ready to work with minimal ongoing direction to succeed in this environment of rapid changes and building products from grounds up. 

 

About the Org:

The M365 Core org in Bangalore plays a pivotal role in powering end user experiences (copilots and beyond) powered by highly relevant search capability leveraging M365 eco system.

 

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.

Qualifications

Required Qualifications:  

  • Doctorate 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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ 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 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)  
    • OR equivalent experience.   

Other Requirements:

 

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 8+ years 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)   
    • OR equivalent experience.  

 

#M365CORE

Responsibilities

  • 5+ years of working in an AI research facility or working with software services / experiences infused with AI  
  • Strong customer focus and passion for doing the right thing for the customer 
  • Proven ability to establish trusted, effective relationships across diverse sets of stakeholders 
  • Excellent communication skills and cross group collaboration 
  • Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques
  • Experience in developing / working with highly scalable classifiers, ranking algorithms, SLMs, LLMs, Finetuning with RLHF, etc. will be a plus. 

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