Microsoft Corporation Sr. Data and Applied Scientist in Redmond, Washington
Workplace Analytics With over 100 million mailboxes and the fastest growing cloud service in the industry, Office 365 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 data scientists have pioneered the translation of email, calendar and other enterprise signals into anonymous, aggregated, predictive data about what people do and why it matters. This is an opportunity to join this team and become an expert on behavior and 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 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:
This 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. MyAnalytics analyzes how you spend your time at work, then suggests way 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/workplace-analytics.
Who we are looking for and what you will do
Experienced, highly motivated data scientist with a passion for turning data into actionable insights and recommendations for our customers.
As a member of a small Workplace Analytics data science team, you will be responsible for prototyping machine learning techniques that will ultimately generate predictive and prescriptive organizational transformation recommendations.
Along this journey, you will be designing solutions to new and unique challenges such as organizational and employee behavior archetyping, collaboration classification, organizational outlier detection and data inference, and automated organizational diagnostic opportunity scans.
In this role, you will interact with both customer-facing Microsoft business analysts, who drive the business context and road-test your prototypes, and the product development teams, who will implement them.
Your job will be to design, develop, validate and deliver machine learning prototypes, including problem definition, data acquisition, exploration, training, testing and evaluating the solutions. Successful prototypes will be incorporated into the Workplace Analytics platform. Join the team with a passion to learn, a natural curiosity and skepticism of the data, a can-do attitude and excitement around enabling the best possible experiences for our customers in the unique new Workplace Analytics space. You should be comfortable dealing with ambiguity and a shifting landscape in a fast-paced environment.
•5+ years proven experience in implementing supervised and unsupervised learning techniques
•BS in Computer Science, Statistics, Applied Mathematics, Physics, or Engineering
•Fluency in Python, R, SQL
•Expertise in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
•Comfort with ownership and timely delivery of machine-learning prototypes for complex analytic problems
•A flexible analytic approach that allows for results at varying levels of precision
•Ability to communicate, collaborate on, and document complex quantitative methodologies in a clear, precise, and actionable manner
•Strong intellectual curiosity and passion to solve real-world problems
•Experience with natural language processing techniques a plus
•Experience with distributed computing tools (Map/Reduce, Hadoop, etc.) a plus
•Online experimentation and associated statistical models e.g. A/B testing a plus Proficiency with Azure Data Lake of COSMOS a plus
Work location - Redmond or San Francisco
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
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 to firstname.lastname@example.org.
Data & applied sciences (engineering)