Never before have information, analytics, and artificial intelligence been so important to business success. That momentum is matched with Microsoft's investment in empowering business transformation for our customers. Microsoft's Advanced Services Delivery (ASD) Engineering organization is infusing AI into the digital delivery channels for proactive support (product optimization), reactive support, and customer education across all Microsoft products. This role, Lead Data & AI Engineer, will be key in realizing this vision.
This individual will be part of a team of high caliber Data Scientists (code named Monocle), chartered to both execute in an applied science paradigm by creating AI enabled product features and customer insights, and in a research capacity by leading new innovations and creating novel algorithms and publications. The Lead Data & AI Engineer will work closely with data scientist counterparts, engineers BI architects, product owners, and customer experience researchers to execute on the data processing and engineirng work required for the data science group and create our next gen modern data platform. It requires agility, scientific thinking, and a wealth of curiosity. This is an opportunity to join a team with a culture fostering collaborations and partnerships across the research industry and Microsoft.
More broadly, the goal of the ASD organization, is to improve IT health outcomes for Microsoft's largest business and enterprise customers, and to enable profitability of the Microsoft Services business via packaged, highly-scalable digital delivery assets. We do this through three primary deliverables: A platform for performing customer IT health assessments, a catalog of IP that includes digital learning assets and workshops to help educate customers, so they can make the most of their IT environments, and a portal called the Services Hub that ties it all together. We have over 20,000 active customers and are working to improve our platform and the services we deliver on top of it and driving the future of the entire Services business.
Knowledge and experience with key data science areas such as machine learning, deep learning, anomaly detection, predictive analysis, text analysis, exploratory data analysis, and other areas of data science
Experience performing data analysis including applying statistics
Excellent verbal and written communication skills with experience presenting to large and small audiences
Ability to interact with peers and stakeholders to define and drive product and business impact
Degree in in Computer Science, Statistics, Mathematics, Economics, or another quant-focused field
Experience with product and service telemetry systems
Passion to learn world class techniques and tools
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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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.
You will work with stakeholders to formulate approaches to solve problems using algorithms and data sources in context of customer, engineering, and business needs.
You will use data exploration techniques to discover new opportunities within your problem area.
You will interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
You will engage with stakeholders to produce clear, compelling, and actionable insights that influence product and service improvements that will impact millions of customers.
You will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.