Job Description

Do you want to work on a product which touches and transforms the lives of billions of people across the globe? Are you eager to build and deploy cutting-edge deep learning models, and take charge of the entire process from inception to execution, impacting millions of users globally? Are you someone who is passionate about bringing customer obsession and engineering craftsmanship into the product you build?

The Bing Auto Suggest team is hiring an Data & Applied Scientist II who can help us build the next generation of intelligent experiences that would delight our customers.

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
--------------------


Our ideal candidate will:• Have an ability to mine large data sets with Cosmos, Hadoop or Spark like technologies.
• Hands on experience working on different aspects of Generative AI including prompting and finetuning.
• Transform data into innovative features/signals that can improve a machine-learning task.
• Build and productionize ML/DL models and evaluate their quality on real life scenarios.
• Prototype new approaches and develop new algorithms using NLP, ML and DL techniques.
• Have an ability and willingness to develop code (in C#, Python & SQL) to productionize ML techniques.
• Have an ability to self-learn new techniques from textbooks and research papers.
• Never compromise on engineering excellence and delivering quality at scale.

Qualifications
------------------

Required Qualifications: • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical tec
+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec
+ OR equivalent experience.
• 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.

Preferred Qualifications: • 3+ years of experience in the areas of data science, machine learning, information retrieval or natural language processing.
• Proficiency and demonstrable skills using statistical or machine learning programming languages and packages (Python/R etc.).
• Demonstrable skills and experience using SQL or NoSQL data stores.
• Excellent verbal and written communication skills.


Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.