Data Scientist 2

Microsoft Bing is looking for a motivated, self-driven ML engineer/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.

About WWE:

WWE organization in Microsoft has the mission of “Make the web work for you”. This team is comprised of several thousand software engineers working on Bing search, Edge browser, Maps, Ads, News, and other projects. Over the years we have developed deep technical expertise in various areas – Machine learning, NLP, speech, computer vision, large scale deployments and continue to innovate and delight customers across 236 regions, 106 languages and with half a billion users.  Please watch this  short video on our team which will give you an insight on why you should join us.

The WWE Team, is part of Microsoft’s India Development Centre(IDC) in Hyderabad, Bengaluru and Noida (and home offices at cities across the country for the time being). The team is responsible for driving the overall strategy in search and AI Platforms – spanning consumer and enterprise customers. The team’s constant endeavor is to nurture an innovative, inclusive culture to enable one to build finely crafted Search & AI products and grow to be a leader. It is home to one of the largest groups of machine learning and AI talent, not just in IDC, but all of India. ​​​​​​​ Please visit our Instagram page   (@lifeatstci)  to get a peek into our culture.

• Masters/Bachelors degree in Computer Science, Mathematics, Statistics, Physics or related field with 5+ Years of industry experience. Focus on ML preferred. Ph.D. desirable
• Strong expertise in Python programming and one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras)
• Knowledge of (with deep expertise in at-least three of) LLMs, Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP
• Hands-on develop ML models using the above techniques across Customer, Partner, Field & Sales in varied domains
•  Ability to both use existing libraries (ML, Deep Learning, Re-inforcement Learning) as well as design algorithms ground-up
• Able to prepare data pipelines and feature engineering pipelines to build robust models using SQL, PySpark, Azure Data Studio etc
• Strong research record preferred demonstrated, through publications
• Scientific thinking and ability to invent: Prior experience creating intellectual property through patents desirable.
• Proficient in Relational Databases (SQL) and Big Data Technologies (Hive, PySpark)
• Knowledge of working in cloud-computing environment like Azure or AWS or Google Cloud. Azure preferred

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.

• Work with huge volumes of data to solve real-world ML problems that are productionized into our  platform to be consumed by downstream applications OR become product feature OR stand-alone products.
• Work with global teams with an opportunity to create phenomenal impact.
• Combine data sciences depth, programming expertise and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem solving across the enterprise.
• Demonstrate a product mindset and look to deliver re-usable components that can be deployed as or into ML services/productized solutions.
• Partner closely with engineering, product management, analytics & transformation teams from across Microsoft to deliver outstanding value to stakeholders and our products.
• Ensure team's strategy is aligned with organization goals and best practices are followed
• Mentor and lead a team of diverse high-performance team of Data scientists