How would you like to bring your data science skills to drive savings for online and in-store shoppers through cashback? Microsoft Cashback Platform delivers savings to millions of users across Windows, Edge Browser, Bing and MSN and on mobile. Microsoft Shopping on Edge Brower has delivered over $6B+ of savings to millions of users through coupons and cashback. The platform and features operate at web scale across thousands of retailers globally. We are seeking a Senior Applied Scientist with a passion for insight building and exploring new data and processes to join our team.

　　You will be working on innovative techniques in Large Language Models / Data analysis and ML (Machine Learning), working on problems at scale, such as personalization of cashbacks offers, user targeting, user retention, price estimation, purchase prediction, defining metrics, build large-scale data pipelines, and drive user satisfaction. We are looking for a Senior Applied Scientist that specializes in and has a passion for developing ML technologies. You will be part of this high-energy team and will contribute to and work alongside many talented colleagues on exciting ML problems and mentor fellow applied and data scientists.

　　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

　　Independently works to create product impact. Identifies approach, and applies, improves, or creates a research-backed solution (e.g., novel, data driven, scalable, extendable) to positively impact a Microsoft product or service.

　　Masters one or more subareas (e.g., Object Recognition, Text Classification) and gains expertise in a broad area of research (e.g., Machine Learning, Natural Language Processing, Computer Vision, Statistical Modeling, Data-Driven Insights.

　　Understands modeling techniques (e.g., dimensionality reduction, cross validation, regularization, encoding, assembling, activation functions) and selects the correct approach to prepare data, train and optimize the model, and evaluate the output for statistical and business significance.

　　Performs documentation of work in progress, experimentation results, plans, etc. Documents scientific work to ensure process is captured.

　　Leverages data analysis knowledge to clean, transform, analyze, integrate, and organize data to the level required by the analysis techniques selected. Develops useable datasets for modeling purposes.

　　Provides mentorship by participating in onboarding to less experienced team members (e.g., interns, research associates) and guiding less experienced team members in processes, scenarios, projects, and their careers, and provides guidance around best practices and standards.

　　Other

　　Embody our culture (https://careers.microsoft.com/v2/global/en/culture) and values (https://www.microsoft.com/en-us/about/corporate-values)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)o 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)

　　o 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)

　　o OR equivalent experience.

　　3+ years of industry experience building machine learning models

　　3+ years of hands-on experience in natural language processing and deep learning using frameworks such as PyTorch, or TensorFlow.

　　Preferred Qualifications:

　　Experience writing quality code, with proficiency in at least one programming language such as Python, C#, and C++.

　　Experience with large scale data analysis, building models, and deriving insights.

　　Proficient problem solving and critical thinking capabilities.

　　Proficient communication skills and demonstrated customer empathy.

　　Collaborative team player with a drive to work in a fast-paced environment.

　　Ability to make data informed decisions to drive results.

　　Applied Sciences IC4 - The typical base pay range for this role across Canada is CAD $104,000 - CAD $193,200 per year.

　　Find additional pay information here:

　　https://careers.microsoft.com/v2/global/en/canada-pay-information.html

　　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) .