Data and Applied Scientist II

Our team is looking for a Data and Applied Scientist II who is passionate about working on ML/DL models and able to work at internet scale. A suitable candidate will have strong Machine/Deep Learning skills with practical experience in tackling complex real-world ML/DL problems and enhancing products. Moreover, 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 some of the solutions. We hire people motivated to solve the hard problems, keen to work in a larger team of data scientists and engineers and ready to make a difference in how the web works.

We are a team of engineers, scientists, and program managers who come from different backgrounds and experiences, and we share a common vision of making the world smarter and more productive. We think that inclusive teams of individuals who care about customers and trust each other are the key to building great products. We work together across the company to find the technology breakthroughs from groups like Microsoft Research and to bring AI into other Microsoft products.

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.
• 2+ years of hands-on experience with ML/NLP frameworks like PyTorch, Tensorflow, ONNX and HuggingFace.
• Experience with data mining and analysis using Big Data platforms like Spark, MapReduce, Hadoop etc.
• Experience with software design and development.

Additional or Preferred Qualifications:

• Research and/or development experience with machine learning, NLP and data mining.
• Experience in architecting, developing, and delivering advanced NLP projects.
• Customer focused mindset, strategic, drives for results, is self-motivated, and has a propensity for action. 
• Proven track record on shipping products/services with high quality.

#MicrosoftAI

• 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 and integrating them with production pipelines.
• 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.
• Evaluating product impact via controlled statistical experiments and iterating on technique to deliver maximum business impact.