Data Scientist @ Microsoft
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Job Details
Overview
Microsoft Dynamics 365 offers simple, versatile business solutions designed for any market and business size. The Customer Experiences Applications (CXA) team empowers organizations by delivering cutting-edge AI solutions and products.
Role Description
As a Data Scientist on the Microsoft Dynamics Customer Experience Application team, you will collaborate with business and AI leaders, internal users, and partners to develop AI/ML solutions that address key business needs.
Responsibilities
- Collaborate with applied scientists and software engineers.
- Develop AI features for Dynamics 365 products.
- Implement and assess Large Language Models and AI pipelines.
- Guide data selection and build AI applications.
- Record and share experimental findings.
- Collaborate with product teams to design AI-driven experiences.
Qualifications
Required qualifications include a Bachelor’s or Master’s degree in a technical field with relevant years of experience, or equivalent practical experience. Applicants should have 1+ year experience building generative AI applications.
Preferred Qualifications
- Design and implementation of model finetuning pipelines.
- Experience with transformer architectures and reinforcement learning.
- Publication and external sharing of research work.
- Expertise in scaling Generative AI pipelines.
Additional Information
The role requires onsite presence 3 days a week in Microsoft offices in Redmond, WA. Base pay ranges across the U.S. vary; for Redmond, WA, an educated guess for this role is around 150,000 per year. Microsoft is an equal opportunity employer. Applications accepted until October 17, 2025.
Key Skills/Competency
- AI/ML
- Data Science
- Generative AI
- Large Language Models
- Model Finetuning
- Data Analysis
- Software Development
- Research
- Collaboration
- Innovation
How to Get Hired at Microsoft
🎯 Tips for Getting Hired
- Customize your resume: Highlight AI/ML projects and data analysis skills.
- Research Microsoft: Understand its mission and Dynamics 365 solutions.
- Prepare for technical interviews: Brush up on generative AI and LLM concepts.
- Showcase collaboration: Emphasize teamwork and cross-functional experience.