The data: 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 data scientists have pioneered the translation of email, calendar and other enterprise signals into anonymous, aggregated, predictive data about how people work and why it matters. This is an opportunity to join this team and become an expert on behavior and productivity in the enterprise.
Who you are: You are a hands-on, developing data scientist with strong Python experience. You enjoy the quick and creative problem solving required to meet the emerging, ever-changing needs of our Fortune 500 customers. You welcome the challenge of big data and are eager to develop expertise in natural language processing (NLP), social network analysis (SNA) and statistical modeling. You must be self-driven, take initiative and want to work in a dynamic, busy, rapidly growing team.
Who we are: The Workplace Analytics team was formed with the acquisition of VoloMetrix by Microsoft in Fall 2015. We have retained our startup culture - dreaming big, working hands-on with customers, and daring to build something that has never been built before. Our team of about 90 people 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. As a startup we were featured in Harvard Business Review five times, as well as in the Wall Street Journal, The Economist, Fortune, Forbes, CFO and Inc. As a team in Microsoft we have gained ownership of the world's largest dataset for our field and a world-class toolkit for building and scaling our product.
Key Tasks and Responsibilities
Work as part of the data science team to develop cutting edge methodologies in People Analytics.
The potential scope of this role is very broad and includes:
Direct services work with customers and the Customer Solutions team manipulating data and helping develop methodologies to model and predict business outcomes
Working with the Product team to prototype, develop and refine data-driven product metrics and features
Helping to govern and manage the enormous and complex pipeline of data that we use in our product and decision making
Helping to develop the skills of the broader product and services team as data-savvy leaders who ask great questions and make informed decisions
2+ years of professional data science experience or combination of work and postgraduate education in data science
Bachelor in Statistics/Math/Computer Science or related field
Experience and proficiency in coding skills relevant for data science, especially Python
Experience in NoSQL database (e.g. MongoDB) and Relational database (e.g., Oracle, SQLServer or PostgreSQL)
Excellent oral communication skills and be able to interact effectively with development, operations and business teams in Microsoft
Experience with agile development methodology
Experience with Hadoop/MapReduce or Spark
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.
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