Why work at WebXT 

　　Inside Microsoft’s Web Experiences Team   

　　Bing Shopping is a product search and discovery service that helps save time and money by bringing products from multiple sellers together on a single website. Bing Shopping uses cutting-edge technologies to provide users with product search results, recommendations, and other useful information about products – including photos, product details, reviews, price history and more. 

　　We are looking for a highly motivated and experienced data & applied scientist to join our Bing Shopping team. If you are passionate about data science and engineering and want to work in a dynamic and fast-paced environment, we want to hear from you! 

　　As a Data & Applied Scientist on Shopping Search, you will work on providing text classification models and algorithms to improve search results, as well as analyzing user data to identify trends and patterns. You will work with other engineers to optimize the performance of the search engine and stay up-to-date with the latest developments in search technology. You will also collaborate with product managers to define product requirements and develop new features, as well as provide recommendations and insights to the product roadmap and strategy. Your team’s work is a key driver of growth for the product, impacting billions of searches on Bing and across Microsoft products. You will work closely with the product team and business stakeholders to scale the solutions to all languages and regions around the world. 

　　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

　　Participate in design, implementation, and execution across a variety of features regarding data science and machine learning.  

　　Drive innovations in analytics applications, ranking and recommendation algorithms.  

　　Design experiments to measure the impact of new ML models and product features. 

　　Champion data-driven decisions for feature prioritization and delivery.

　　Collaborate with product team and other organizations within Microsoft to deliver success.

　　Qualifications

　　Required Qualifications  

　　BS/MS in Computer Science, Statistics, Applied Mathematics, Operation Research, Automation, Physics, or other engineering or science fields 

　　Proven experience in experience with C#/C++/Java/Python/Scala or any other OOP skills with a good knowledge of Data Structures/Algorithms 

　　Passionate and have experience in data analytics, applied machine learning, deep learning and/or related fields   

　　Preferred Qualifications  

　　PhD with research experience in data science, machine learning and/or related fields 

　　Experience developing end to end analytics solutions or ML systems for real world applications 

　　Have publications at peer-reviewed Data Science/AI conferences (e.g. KDD, CIKM, SIGIR, NIPS, CVPR, ICML, ICLR, ICCV, and ACL).

　　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) .