Job Description
Microsoft Bing seeks a Senior Data & Applied Scientist to contribute to its mission. This role involves developing and deploying large-scale machine learning models for NLP tasks, advancing state-of-the-art NLP technologies, and creating novel algorithms. Responsibilities include collaborating with engineers, product managers, and stakeholders; building and mentoring a team; ensuring compliance; and using data insights to inform technical decisions. The ideal candidate possesses strong experience in deep learning, NLP, and building production-ready models, with a proven track record of success in a relevant field.
Good To Have:
- Published work in top-tier conferences
- Knowledge of ML software development and architectures
- Leading and mentoring a team of data scientists
Must Have:
- 3+ years deep learning experience (NLP a plus)
- Experience building and deploying large-scale ML models
- NLP, Document Understanding, Information Retrieval expertise
- Building and refining ML models for NLP tasks
- Collaborating with cross-functional teams
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
Overview
Microsoft Bing is looking for a motivated, self-driven Senior Data & Applied Scientist to join our mission. Essential attributes and competencies include excellence in scientific thinking and execution, ability to drive efficient experiment definition and investigations, solid skill in developing state-of-the-art machine learning algorithms and broad scope in solving NLU related ML problems.
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.
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).
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.
• 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.
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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