Microsoft

Senior Data Scientist

Microsoft$160K — $261K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Doctorate or Master's in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with specific years of experience in data science.
  • Experience in managing structured and unstructured data and applying statistical techniques.
  • Strong programming skills in Python and building production-quality code.
  • Experience prompting and working with large language models (LLMs).
  • Interest in Responsible AI practices and implications.

Responsibilities

  • Leverage your expertise to evaluate Copilot's performance and identify failure modes.
  • Engage in creative problem-solving amid complexity to deliver actionable results.
  • Design and implement comprehensive evaluation frameworks for various scenarios and edge cases.
  • Develop automated testing systems and create repeatable solutions for model pipelines.
  • Maintain a user-oriented approach through user research and feedback.
  • Monitor advances in research and adapt state-of-the-art techniques for production systems.

Benefits

  • Comprehensive health and wellness benefits package.
  • Flexible work arrangements and support for work-life balance.
  • Opportunities for professional development and continuous learning.
  • 401(k) matching and retirement savings plans.
  • Employee discounts and perks.
Full Job Description
Overview

As a Senior Data Scientist for LLM Evaluation, you will develop and implement cutting-edge methodologies to help us evaluate how well Copilot performs in real-world usage scenarios. Users turn to Copilot for all types of endeavors, making it critical that we ensure our AI systems effectively help them meet their needs.

Our vision for meeting user needs is expansive and includes not only task completion, but also affective aspects of the experience.

You will be responsible for developing new methods to evaluate LLMs, train classifiers, experimenting with data collection techniques, and implementing methodologies to provide real-time signals on Copilot performance.

We're looking for outstanding individuals with experience in the social sciences, machine learning, and analysis of natural language. The right candidate is a creative problem solver who will work closely with user researchers and product leaders to build automated evaluation frameworks that help us drive improvements in Copilot.

Responsibilities
  • Leverage expertise to measure the performance of Copilot, identify failure modes and novel mitigation strategies, including data mining, prompt engineering, LLM as a judge, and classifier training.
  • Creative problem solving, navigating complexity with clarity, independently shaping direction and delivering results even when the path isn't obvious.
  • Create and implement comprehensive evaluation frameworks across diverse scenarios, edge cases, and potential failure modes.
  • Build automated testing systems, generalize solutions into repeatable frameworks, and write efficient code for model pipelines and intervention systems.
  • Maintain a user-oriented perspective by understanding needs from user perspectives, validating approaches through user research, and serving as a trusted advisor on AI matters.
  • Track advances in research, identify relevant state-of-the-art techniques, and adapt algorithms to drive innovation in production systems serving millions of users.


Qualifications

Required 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)
  • ORMaster'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.

Additional or preferred qualifications
    • Doctorate 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 Master'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 Bachelor'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 equivalent experience.
    • Experience prompting and working with large language models.
    • Experience writing production-quality Python code.
    • Demonstrated interest in Responsible AI.


Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800.00 - $234,700.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200.00 - $261,000.00 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
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