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Applied Scientist II - ML at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Modeling, Customer Journey, Product Growth, Revenue Generation, Descriptive Models, Predictive Models, Forecasting, Causal Inference, Large Language Models, Generative AI, Collaboration, Cross-Functional Partnerships, Operational Efficiency, Insights, Decision-Making

Industry

Software Development

Description

If you have an interest in data and are committed to developing systems that enhance informed decision-making at Microsoft, the Insights, Data Engineering & Analytics team (IDEAS) offers a platform for professional growth. This team plays a crucial role in supporting Microsoft 365 and the Experiences + Devices group (E+D), both of which are central to the Company's mission to empower individuals and organizations to achieve more. Our objective is to foster a data-informed culture by equipping the Experiences + Devices group with actionable insights to guide their decisions. This initiative represents a significant opportunity to deliver impactful information that will improve operational efficiency, drive empowerment, and support Microsoft’s success in the evolving AI landscape. As a Applied Scientist II - ML on IDEAs team, you will be working on analysis and modeling to understand the customer journey throughout the end-to-end lifecycle and identify potential opportunity to drive product growth and revenue. This role offers the opportunity to develop experience in designing, prototyping, implementing, and deploying descriptive and predictive models, forecasting, causal inference models, Large Language Models (LLMs) and generative AI frameworks. You will thrive in a collaborative team environment that values cross-functional partnerships and shared success. 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.

Responsibilities

As an Applied Scientist II - ML, you will analyze and model to understand the customer journey and identify opportunities for product growth and revenue. You will design, prototype, implement, and deploy various models including predictive and causal inference models.