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Job Details
Posted date: Nov 27, 2024
There have been 42 jobs posted with the title of Senior Applied Scientist all time at Microsoft.There have been 42 Senior Applied Scientist jobs posted in the last month.
Category: Research, Applied, & Data Sciences
Location: Redmond, WA
Estimated salary: $183,700
Range: $117,200 - $250,200
Employment type: Full-Time
Travel amount: 25.0%
Work location type: Up to 50% work from home
Role: Individual Contributor
Description
We are looking for a Senior Applied Scientist with experience to join our fun and challenging journey. Homepages Whole Page Optimization (WPO) team is responsible for delivering best whole page experience for a variety of homepages that Microsoft provides through different products (e.g., Edge browser, MSN.com). We are a team full of high caliber, talented, passionate developers from different regions around world. The team optimizes for global maxima over engagement, revenue, and retention by organizing homepage components to an optimal prominence and placement using available context, intent, and past behavior. By leveraging personalized ranking and recommendation techniques, we are building the framework to provide the best personalized homepage experience that match users’ interests.You'll have the opportunity to shape the design of homepages, and have a direct impact on various products that millions of users use every day. We explore and invent cutting edge methods in statistics, information retrieval, data mining, machine learning, UX framework and distributed systems to solve hard problems. You will have enormous resources at your disposal; high-performance distributed systems with vast amounts (peta-bytes) of raw and processed data from our logs and the tools to work with those data. You have the right environment and strong support to drive your favorite features to solution. We are an extremely agile team and we move very fast from ideas to experimentation, development and deployment through continuous releases throughout the year.
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.
Leverage state-of-art machine learning techniques to provide best personalized experience to end users.Originate, implement, and iterate on machine learning features & models to keep improving our product quality.Closely collaborate with different teams within Microsoft to expose best personalized contents to end users, enable agile development & experiments, deliver cross-team impact.
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.3+ years of industry experiences in machine learning or Natural Language Processing.Experience with coding and familiarity with at least one Objective Oriented Programming language, including, but not limited to, C, C++, C#, Java, JavaScript, or Python.Preferred Qualifications:
Experience in recommendation systems.Demonstrated ability to be productive and effective in a highly collaborative environment.
Experience in Big Data machine learning with Cosmos/Scope/Spark/.
Experience with design, problem solving, and data analysis skills, with demonstrated passion for quality, performance, and engineering excellence.Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 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 December 11, 2024
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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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.
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