Senior Data Scientist

Overview

Join the team building Azure’s nextgeneration Model Router and shape how the world’s most advanced LLMs are routed, optimized, and deployed at global scale. 

Be part of a dynamic team shaping the future of AI and language models  - Work on high-impact projects with global reach  - Collaborate with leading experts in the field  - Enjoy a flexible and inclusive work environment  If you're passionate about AI, love tackling complex challenges, and want to contribute to the next generation of language models, we'd love to hear from you!    Apply now and let's build the future together.  

Responsibilities

Job Responsibilities

Bringing the State of the Art to Products

Establishes collaborative relationships with relevant product and business groups inside or outside of Microsoft and provides expertise or technology to create business impact. Takes initiative and drives activities such as technology transfers attempts, standards organizations, filing patents, authoring white papers, developing or maintaining tools/services for internal Microsoft use, or consulting for product or business groups. May publish research to promote receiving new intellectual property for business impact.

Capability Management and Networking

Provides mentorship by participating in onboarding to less experienced team members (e.g., interns, research associates) and guiding less experienced team members in processes, scenarios, projects, and their careers, and provides guidance around best practices and standards. Assists in developing academics to be members of multi-discipline teams.

Documentation

Performs documentation of work in progress, experimentation results, plans, etc. Documents scientific work to ensure process is captured. Creates informal documentation and may share findings to promote innovation within group or with other groups.

Ethics and Privacy

Uses deep understanding of fairness and bias. May contribute to ethics and privacy policies related to research processes and/or data/information collection by providing updates and suggestions around internal best practices. Seeks to identify potential bias in the development of products.

Leveraging Applied Research

Serves as an expert within product domain. Gains deep knowledge in a complex or highly ambiguous service, platform, or domain. Shares knowledge of changes in industry trends and advances in applied technologies with engineers and product teams to apply advanced concepts to identify product needs and drive action toward solutions. Fosters audience for the product based on understanding of the industry.

Machine Learning Functionality, Insights, and Technical Tools

Helps address scalability problems by adjusting to stakeholder needs. Works with large-scale computing frameworks, data analysis systems, and modeling environments to improve models. Applies the model to real products, and then verifies effects through iterations. Experiments by putting multiple models in production and evaluating their performance. Mentors less experienced team members through modeling processes. Continues to monitor how algorithm performs against expected behaviors and performance or accuracy guardrails. Monitors over time for input and output data that there are changes over time

Qualifications

Required/minimum qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
  
  

Additional Or Preferred Qualifications

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.

3+ years experience conducting research as part of a research program (in academic or industry settings).

1+ year(s) experience developing and deploying live production systems, as part of a product team.

1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

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

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.