Office 365 has made Microsoft into the largest SaaS company in the world. With over 100 million mailboxes and the fastest growth in the industry, it represents the world’s largest store of human behavioral and network data about work and contains tremendous potential to inform and increase organizational productivity around the world. Our team of engineers and data scientists have pioneered the analysis of all such collaboration signals into anonymous, aggregated, predictive data that can help enterprises measure, correlate collaboration to key business processes. In addition to identifying and quantifying potential productivity issues, the team is starting on a journey to convert issues into specific actions for employees to follow and improve individual and group behaviors. This is an opportunity to join this team and become an expert on measuring and improving productivity in the enterprise.

Who we are:

We have a startup culture - dreaming big, working hands-on with customers, and daring to build something that has never been built before. Our team applies cutting edge big data and analytics technology, machine learning and high-end business services to empower executives, managers, and individuals to better understand and focus their own time and their team’s time around their important priorities.

What we work on:

The Workplace Intelligence team works on a new family of people analytics products in Microsoft:

Workplace Analytics leverages Office 365 collaboration data to deliver powerful new insights for enterprise productivity. It helps business leaders understand collaboration patterns across organizations that influence productivity and employee engagement.

Learn more about our product: https://products.office.com/en-us/business/workplace-analytics

MyAnalytics analyzes how you spend your time at work, then suggests ways to work smarter, from cutting unproductive meeting time to getting better work/life balance.

Learn more about our product: https://products.office.com/en-us/business/myanalytics-personal-analytics

Responsibilities

Who we need:

Strong, highly motivated engineer with a passion to enable the best possible experiences to our customers. Comfortable dealing with ambiguity and a shifting landscape. Have experience with Azure or other cloud services, passionate about iterating fast, and getting the right design for our customers. With entrepreneurial spirit and a can-do attitude. Curious about machine learning, understand efficient data structures, familiar with algorithms and have a track record of shipping software based services.

Qualifications

Basic Qualifications:

• Strong computer science fundamentals and proven algorithm design capability
• 10+ years of hands-on software design and coding experience
• Proficiency in object oriented development, with C# and .Net Framework preferred
• Hands on experience in architectural design and implementation of large scale big data use cases
• Excellent technical, cross group collaboration and communication skills

Preferred Qualifications:

• Experience working in a startup environment or v1 products
• Experience with using machine learning and data analysis techniques on real datasets
• DevOps Experience supporting production systems

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.