Senior Applied Scientist- Microsoft Excel team

Microsoft • Redmond, WA

3d

About The Position

Conduct rigorous analysis to evaluate the performance of intelligent applications, identify areas for improvement, and iterate. Executing projects from design through implementation, experimentation and finally shipping to our users. Integrate experiments into production systems by implementing them and maintaining and optimizing their performance. Understand broad areas of research and techniques, as well as a knowledge of industry trends to apply this in the product. Prepare data for analysis by applying quality and technical constraints. Review data and suggest data to be included and excluded and address data quality problems. Assist with the development of usable datasets for modeling purposes and support the scaling of product ideas. Embody our culture and values.

Requirements

• 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.
• These requirements include but are not limited to the following specialized security screenings: 1+ years working with Large Language Models.
• 1+ years' experience in applying machine learning techniques and driving end-to-end AI product development.
• Demonstrated ability to work effectively end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation).
• Experience with shipping internet scale, low latency and high availability.
• Experience with python programming.
• Experience with Applications of Foundation Models, Domain Adaptation of Foundation Models (e.g. fine-tuning LLMs/SLMs).
• Experience with Prompt optimizations, Data Mining with language models, Agentic systems.

Responsibilities

• Conduct rigorous analysis to evaluate the performance of intelligent applications
• Identify areas for improvement
• Iterate on improvements
• Execute projects from design through implementation, experimentation and shipping
• Integrate experiments into production systems
• Maintain and optimize performance
• Understand research areas and techniques
• Apply knowledge of industry trends
• Prepare data for analysis
• Review data and suggest inclusions/exclusions
• Address data quality problems
• Assist with the development of usable datasets
• Support the scaling of product ideas

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees