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We need candidates who have successfully shipped machine learning based solutions, and have 10+ years of relevant academic or research experience. This is a rare opportunity to influence technology development in an important growth area at Microsoft. You will design, implement, analyze and tune complex algorithms and ML models operating on large datasets in collaboration with top scientists and engineers across Microsoft global R&D team.
What if your job description were simply -make tomorrow better?? Every day at Microsoft, we bring an insatiable curiosity to the workplace, challenging ourselves to reimagine what it is and what it can be. We build on what's come before to create what's next. We help shape the future and we empower billions of people around the globe. Online Advertising is one of the fastest growing businesses on the Internet today, with about $70 billion of a $600 billion advertising market already online. Search engines, web publishers, major ad networks, and ad exchanges are now serving billions of ad impressions per day and generating terabytes of user events data every day. The rapid growth of online advertising has created enormous opportunities as well as technical challenges that demand computationally intelligence and scalable algorithms. Eventually Computational Advertising has emerged as a new interdisciplinary field that involves information retrieval, data mining, machine learning, statistical modeling, optimization, linear algebra, and micro-economics, to solve challenging problems that arise in online advertising.
Develop novel algorithms in the space of sponsored search to constantly improve the operational efficacy and monetization impact to stake holders
Analyze Giga/Tera bytes of logs and create observation/opportunities and avenues of improvements in the system
Identify and apply machine learning solutions at various aspects of the system stack
Monitor for alerts and root cause the live/off-line aspects for any abnormalities in the system
Ideate on newer aspects of advertising avenues and augment the platform with richer products for the stake holders
PhD/MS in Computer science or related areas with strong inclination towards learning algorithms is preferred
Strong foundations in the mathematical aspects of learning including optimization, linear algebra & statistical modeling
Hands-on experience in feature engineering and building scalable machine learning algorithms
Experience in web-search/sponsored-search domains is a plus
Excellent problem solving capabilities with strong fundamentals in computer science
Strong software design and development skills in one or more high level languages (C#/C/C++/Java/F# etc)
Knowledge in at least one scripting language (Python, Perl, Ruby, etc) is a plus
Proficiency in distributed computing tools like MapReduce/MPI (Cosmos/Hadoop/Spark/Hive etc) is a plus
Principal Data Scientist
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
We do business in 170 countries and are made up of 114,000 passionate employees dedicated to fulfilling our mission of helping you and your organization achieve more.