Are you a customer-obsessed, AI (Artificial Intelligence)-curious problem-solver who thrives in an inclusive, collaborative global team? The Azure Customer Experience Platform (CXP) team's mission is to transform Microsoft Cloud customers into fans. Through our deep engineering engagements with customers and teams across Microsoft, we analyze and amplify customer needs and drive the vision to improve Cloud quality, security, and reliability. Our culture of growth mindset and empowerment are central to who we are and how we work.
In the new era of AI, this role within Azure CXP Data & Applied Sciences team will provide you the opportunity to work on cutting-edge GenAI and ML (Machine Learning) solutions that drive specific, measurable, and impactful improvements to key areas of Azure customer experience. In an environment of high opportunity and impact, we are looking for an Applied Scientist II who can deliver on key initiatives for Security, Reliability and Quality through advanced AI solutions with a cross-functional team of Product Managers, Designers, Engineers and Data Scientists.
Every day, our customers stake their business and reputation on our cloud. You can help provide our customers with the world-class cloud services they need to succeed.
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.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
As a Senior Data and Applied Scientist in our team, you will:
Engage with product and business groups to drive impact of AI projects throughout the life cycle from idea creation through technology transfers, applied research, experimentation, implementation and finally to worldwide availability.
Work with large-scale computing frameworks, data analysis systems, and modeling environments to build and apply models to real products, and then verify effects through iterations.
Perform rigorous experiments and evaluations to assess the quality and impact of your solutions and improve them based on data and customer feedback.
Communicate technical findings and insights effectively.
Collaborate with cross-functional teams including researchers, applied scientists, engineers, product managers and designers to build tools and improve the end-to-end AI Quality of our production systems.
Leveraging data from various sources and domains to design and implement innovative solutions that achieve rigorous metrics and address customer needs.
Ensure compliance to Microsoft Responsible AI standards throughout the AI system lifecycle
Stay abreast of the latest advancements in machine learning, information retrieval, and recommendation systems, and contribute to the company's intellectual property through patents and publications.?
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)
OR Master'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.
Atleast 6+ months of experience implementing solutions with LLMs and GenerativeAI
Other Qualifications:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers). Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 7+ 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 5+ 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+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.
Experience in Python, PyTorch, TensorFlow, langchain, or other machine learning frameworks.
Experience delivering AI product features
Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
OR equivalent experience.
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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
Microsoft will accept applications for the role until November 7, 2025.
Relevant prior work experience, e.g., statistics, predictive analytics, research, GenAI.
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Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .
