Data & Applied Scientist II

3 Months ago • 1-5 Years • Research & Development • Artificial Intelligence

Job Summary

Job Description

The Web Experiences Team (WebXT) at Microsoft seeks a Data & Applied Scientist II to develop and deploy ML/DL models at internet scale. Responsibilities include developing novel algorithms, designing real-time solutions, building data quality checks, hosting ML models, designing and executing experiments, advancing NLP technologies, and resolving accuracy and robustness issues. The ideal candidate possesses strong ML/DL knowledge, experience with NLP, and a proven ability to solve complex problems. The role involves working within a larger team of data scientists and engineers to significantly impact web experiences for billions of users daily.
Must have:
  • Deep learning & Machine Learning experience
  • NLP and data mining experience
  • Developing and delivering advanced NLP projects
  • Building data quality checks and reusable modules
  • Designing and executing offline/online experiments
Perks:
  • Industry leading healthcare
  • Educational resources
  • Discounts on products and services
  • Savings and investments
  • Maternity and paternity leave
  • Generous time away
  • Giving programs
  • Networking opportunities

Job Details

Overview

The Web Experiences Team (WebXT) at Microsoft is accelerating innovation to enable engaging web experience products for every person.

Our team uses latest NLP deep learnt models to prepare Grounding data for our Copilot efforts. Doing this at web-scale impacts billions of queries per day and millions of users. If you are excited and passionate about running end to end experiments, creating substantial impact, you will find home in our team.


We are looking for a Data & Applied Scientist II who is excited to work on ML/DL models capable to work at internet scale. An ideal candidate will have good Machine/Deep Learning knowledge with hands on experience in solving complex real-world ML/DL problems. In addition, the candidate will have knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing at least a few of the solutions. We hire people excited to solve the hard problems, eager to work in a larger team of data scientists and engineers and ready to make an impact on how the web works.

 

As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together.  We collaborate regularly across the company both to find the technology breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office.  

We would like you to get a peek into our culture on Instagram (@lifeatstci) and below is more about this job and what we are looking for. Happy applying!

 

Visit us at https://aka.ms/STCI

 

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.

Qualifications

Required Qualifications:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
    • OR equivalent experience.

Additional or Preferred Qualifications:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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
  • 3+years of professional experience applying Deep learning, Machine Learning concepts in real world applications.
  • Research and/or development experience with machine learning, NLP and data mining.
  • Experience in architecting, developing, and delivering advanced NLP projects.

Responsibilities

Your responsibilities include:
  • Developing novel machine learning and data mining algorithms.
  • Designing and developing solutions that respond in real time.
  • Build data quality checks and re-usable modules for the training.
  • Host ML models with production-ready code.
  • Designing and executing offline/online experiments.
  • Advancing the state of the art of NLP technologies for real world scenarios.
  • Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect

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