**Overview** Microsoft Shopping delivers a seamless, intelligent, and rewarding shopping experience across Copilot, Bing, Edge, and MSN. From discovering the best deals to exploring trending products and receiving personalized recommendations, we empower users throughout their shopping journey. The MAI-Asia Shopping team is at the forefront of enhancing catalog comprehensiveness, data quality, and relevance. We are also committed to building personalized, AI-driven shopping experiences that delight users and drive business impact. Our team of engineers and scientists leverages cutting-edge AI, machine learning to accelerate innovation and product development at scale. We are looking for passionate Senior Applied Scientists to join us in advancing product understanding and personalized recommendation systems. You will work on state-of-the-art technologies that power Microsoft Shopping, collaborating closely with engineers, product managers, and designers to deliver engaging and intelligent shopping experiences. 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.   Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. **Responsibilities** + Drive business growth by identifying and addressing key challenges in shopping product and user understanding, as well as personalized recommendation systems. + Design and implement scalable algorithms and infrastructure to improve user engagement metrics such as click-through rate, conversion rate, and revenue. + Analyze offline and online metrics to uncover opportunities and guide data-driven decision-making. + Collaborate across disciplines to deliver high-quality, impactful solutions. + Continuously innovate by applying the latest research and techniques in AI to real-world problems. **Qualifications** **Required 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. + 4+ years of proven experience in deep learning, machine learning, prompting and fine-tuning. + Solid problem-solving and system design skills, with a focus on scalability and engineering excellence. + Ability to translate research into practical applications and business impact. + Excellent communication and collaboration skills, with a track record of cross-team execution. **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. + 6+ years of proven experience in deep learning, machine learning, prompting and fine-tuning. + Familiarity with recommendation system development. \#MicrosoftAI 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. (https://careers.microsoft.com/v2/global/en/accessibility.html)