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Principal Data Scientist

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Microsoft

8d ago

  • Job
    Full-time
    Expert Level
  • Hyderabad, +1

AI generated summary

  • You need a B.S/M.S in CS/Math, 10+ years of industry experience, 5+ years in deep learning/NLP, strong ML and software skills, proficiency in Python/C++, and a track record of deploying large-scale ML models.
  • You will build and refine NLP models, innovate algorithms, mentor a team, collaborate with stakeholders, ensure compliance, and leverage data insights for design and implementation decisions.

Requirements

  • B.S or M.S in Computer Science or Math(PHD in Data science + ML will be a plus)
  • 5+ Years of experience in deep learning (extensive work on NLP is a plus)
  • 10+ Years of industry experience
  • ML fundamentals: Data mining, wrangling, processing, visualization, model training, analysis.
  • Expertise in Designing and hands on with Coding
  • Software fundamentals: code + integrate models into production services.
  • Strong knowledge and skills in machine learning software development and architectures for machine learning (with focus on deep learning).
  • Research or Industry experience with one or more of following areas Natural Language Processing (NLP), Document Understanding, Information Retrieval, Natural Language Understanding.
  • Experience in building, deploying, and improving large scale Machine Learning models and algorithms in real-world products.
  • Proficiency in Python/C++ and deep learning frameworks e.g. Pytorch, Tensorflow.
  • Ability to synthesize the research literature, compare/contrast/critique and combine ideas into creating new ML models.
  • Published work in top-tier conferences & journals is a plus

Responsibilities

  • Build and refine machine learning models to solve NLP tasks and productizing the solutions at scale.
  • Staying abreast with the SOTA advancements and use them to formulate novel solutions.
  • Advancing the state of the art of NLP technologies for real world scenarios.
  • Developing novel machine learning and data mining algorithms
  • Contribute ideas and techniques to shape decisions and improve product quality metrics.
  • Participate in design, implementation and execution with a team of engineers, applied scientists and product managers.
  • Collaborate with Program Managers and stakeholders to create and architect innovative end-to-end solution design
  • Mentor and provide technical guidance to a diverse high-performance team of Data Scientists
  • Create clarity, generate energy and deliver the impact
  • Ensuring compliance with Security, Privacy, GDPR etc. and performance criteria
  • Use data and insights from customer and production to contribute to some technical design and implementation decisions

FAQs

What is the primary focus of the Principal Data Scientist role?

The primary focus of the Principal Data Scientist role is to build and refine machine learning models to solve NLP tasks and productize the solutions at scale, while also advancing the state of the art in NLP technologies for real-world scenarios.

What qualifications are required for this position?

The required qualifications include a B.S. or M.S. in Computer Science or Math, with a PhD in Data Science or Machine Learning considered a plus. Additionally, candidates should have 5+ years of experience in deep learning, 10+ years of industry experience, and expertise in various machine learning fundamentals and techniques.

Is experience in Natural Language Processing (NLP) necessary?

Yes, extensive experience in NLP is highly desirable and preferred for this role, along with knowledge in areas such as Document Understanding, Information Retrieval, and Natural Language Understanding.

What programming languages and tools are important for this role?

Proficiency in Python and C++, as well as experience with deep learning frameworks like PyTorch and TensorFlow, are important for this role.

Will I be mentoring other team members?

Yes, mentoring and providing technical guidance to a diverse, high-performance team of Data Scientists is a key responsibility of this position.

What is the emphasis on compliance in this role?

The role emphasizes ensuring compliance with Security, Privacy, GDPR, and performance criteria while developing and deploying machine learning models.

Are there opportunities for contribution to research or publications?

Yes, published work in top-tier conferences and journals is a plus, and candidates will have opportunities to contribute ideas and techniques that can shape decisions and improve product quality metrics.

How does this role collaborate with other teams?

This role involves collaboration with Program Managers and stakeholders to create and architect innovative end-to-end solution designs, and participation in design, implementation, and execution with a team of engineers, applied scientists, and product managers.

What core competencies are expected for this position?

Essential competencies include excellence in scientific thinking and execution, the ability to drive efficient experiment definition and investigations, and solid skills in developing state-of-the-art machine learning algorithms.

Does Microsoft offer equal opportunity during the hiring process?

Yes, Microsoft is an equal opportunity employer and considers all qualified applicants for employment without regard to various protected characteristics as outlined in the job description.

Microsoft

Technology
Industry
10,001+
Employees
1975
Founded Year

Mission & Purpose

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. When we show up, we achieve more together. Microsoft operates in 190 countries and is made up of more than 220,000 passionate employees worldwide.