Data & Applied Scientist II

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.

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.

• 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.