Data & Applied Scientist II - Bing Shopping

Microsoft's Windows and Web Experiences team (WWE) creates innovative AI-powered and personalized web experiences in Microsoft Bing, Microsoft Edge and Microsoft Start, that inform, entertain, add value, save money, and breathe productivity into the life and work of millions of customers. WWE makes the web work for our consumers, advertisers, and publishers in a safe environment where everyone can get informed, entertained, save money and thrive! 

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 II 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. 

 

Join our team and contribute to shaping the future of online shopping within our Bing and Edge ecosystem, driving sustainable growth for our online shoppers. We look forward to having you on board to make a meaningful impact and grow your career in the dynamic field of data science.

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 a Data & Applied Scientist II focusing on online shopping, you will play a pivotal role in enhancing and optimizing our mining, extraction, relevance algorithms. Your primary responsibilities will include:

• Algorithm Development and Enhancement:
  
  • Collaborate with cross-functional teams to design, develop, and implement algorithms to drive improved Catalog and experience to our customers.
  • Optimize existing algorithms by analyzing performance metrics and user feedback, incorporating advanced machine learning techniques including generative AI techniques.
• Data Analysis and Modeling:
  
  • Analyze large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation systems.
  • Build predictive models using machine learning algorithms and statistical techniques to optimize mining, extraction and inferencing for various user segments.
• Experimentation and A/B Testing:
  
  • Design and conduct A/B tests to evaluate the performance of various algorithms and propose iterative improvements based on the results.
  • Utilize experimentation results to iterate and fine-tune models, ensuring continuous improvement and impact on key business metrics.
• Collaboration and Communication:
  
  • Work closely with product managers, engineers, and other stakeholders to understand business requirements and translate them into actionable data science initiatives.
  • Communicate findings, insights, and recommendations to both technical and non-technical stakeholders effectively, enabling informed decision-making.

Qualifications

Required Qualifications:

• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and practical data-science experience (e.g., managing structured and unstructured data, applying statistical tec 
• Customer-facing, project-delivery, professional services, and/or consulting experience within the work environment 
• Relevant work experience in NLP, data science, machine learning, or applied science, coupled with a solid understanding of machine learning algorithms, generative AI technologies, statistics, and data modeling techniques. 
• Solid programming skills in Python and experience with other programming languages like C#, C++  
• Ability to translate data analysis findings into practical engineering/ML solutions. 

Preferred Qualifications:

• Masters OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field 
• Experience with recommendation systems, collaborative filtering, and personalization algorithms is a plus. 
• Proficiency in data manipulation, cleaning, and analysis using SQL and/or other data processing tools. 
• Familiarity with A/B testing methodologies and experiment design. 
• Excellent problem-solving skills with solid communication and teamwork abilities., enabling effective collaboration in a fast-paced environment and the clear presentation of technical concepts to diverse audiences. 

Other Requirements:

 

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.