Experience Inc. Jobs

Imagine having the entire web at your fingertips, facing the challenges of managing the vast scale of the internet, discovering and handling every URL, processing billions of requests, and managing countless documents. Are you ready to bring your data science skills to one of the biggest search engines in the world, Bing, and take it to the next level?

We are seeking a Senior Data Scientist to join our team in Redmond, WA at Microsoft, Bing Discovery and Selection.

You will be part of the team building an entirely new system for web search indexing backend, which will be orders of magnitude larger and faster than anything that currently exists. The new indexing pipeline is built on top of a petabyte-scale table and incremental processing infrastructure. The goal of the system is to process billions of documents a day with end-to-end latency of seconds to minutes. To design the new system, we are applying a combination of approaches from the fields of distributed computing, network programming, algorithm optimization, and machine learning.

If you are ready to take on this exciting role, apply now!

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

Our core set of engineering challenges include:

• Discover, crawl from the web, and Index billions of documents in a fast and efficient way.

• Build a Document Understanding platform that partner teams can use to plugin to run their classifiers, models and allow friction free experimentation.

• Provide Web Graph / Index as a service for Microsoft teams, utilize and build rich applications.

• Parsing and classifying billions of web documents, do encoding & language detection, script segmentation and sentence breaking.

• Use LLMs (Large Language Models), NLP (Natural Language Processing), ML (Machine Learning), DL (Deep Learning) techniques to extract document data, NER (Named Entity Recognition), POS (Part-of-Speech tagging), parsing, clustering, QnA (Question and Answer), etc.

• Enable everyday experimentation on petabytes of web index data using Big Data technologies

• Design and build automated systems to scale your ideas and monitor their impact.

• Collaborate with other teams in Microsoft and work with other engineers, scientists and product managers.

• Enable ML applied scientists with experimentation infrastructure including tools for configuring and launching experiments, dashboards, live monitoring, and custom diagnosis.

• Influence and enable teams to make data driven decisions.

• Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture)

Qualifications

Required/minimum qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR equivalent experience.

Additional or preferred qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results))

• OR equivalent experience.

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 October 14, 2024

#MAIFundamentals# #MAI# //platformjobs

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) .