Senior Data & Applied Scientist
Hyderabad, Telangana, India
Microsoft
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The TechHelp segment team within Microsoft WebXT, works on the latest state-of-art ML tech to understand user query and data, builds both backend and frontend services to satisfy users, monitors product quality and react to issues in a timely manner. Everything is at web scale – billions of queries at milliseconds of latency. You’ll be flexible to work on any one or multiple areas.
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
• Build and refine machine learning models to solve NLP tasks and productizing the solutions at scale and stay 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, Architects and stakeholders for workforce planning, demand planning and end-to-end solution design.
• Build, mentor, and lead a diverse high-performance team of Data Scientists.
• 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.
Qualifications
Required Qualifications:
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- 3+ Years of experience in deep learning (extensive work on NLP is a plus).
- 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.
Preferred Qualifications:
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 7+ years related experience (e.g., statistics predictive analytics, research)
- OR equivalent experience.
- 5+ Years of experience in deep learning (extensive work on NLP is a plus).
- Published work in top-tier conferences & journals is a plus.
- Knowledge and skills in machine learning software development and architectures for machine learning (with focus on deep learning).
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Data Mining Deep Learning Econometrics Engineering Machine Learning ML models NLP NLU Privacy React Research Security Statistics
Perks/benefits: Career development Conferences Medical leave
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