Data & Applied Scientist-Customer Success
Redmond , Washington
November 21, 2017
Microsoft aspires to help our customers achieve their own digital transformation, leveraging the power of the Microsoft cloud solutions and services, to support our mission to empower every person and every organization on the planet to achieve more. To help drive this effort, Microsoft is investing in the creation of a completely new discipline and a Customer Success team that will play a key role in helping Microsoft customers achieve this digital transformation through successful adoption of Microsoft Cloud solutions.

The Customer Success team are not a sales team, and not a services/delivery team, they are a new discipline and team that truly focuses on helping our customers to get to successful business outcomes using our technology. The team will do this by engaging with stakeholders and driving consumption through governance of projects, both with key Business Decision Makers and IT Decision Makers. They will ensure that any project is set for success with the right executive sponsorship, outcome engineering, architecture and the right resources (from partners, Engineering, Services, relationship and specialist field sales teams). This customer centric team will through their actions, over time, drive greater lifetime value, higher renewal propensity, higher consumption/usage and most importantly greater business value for the customer from their investments.

As part of this new organization, we are looking for a Data & Applied Scientist focused on Customer Success. This team will provide leadership across the company to provide advanced analytics and machine learning capabilities to drive customer success. You will be part of a team of Data Scientists, who will define what it means to drive actionable customer success insights leveraging big data, statistical analysis, machine learning, AI and other advanced techniques to help the company to drive customer success. We are fortunate to be at the center of the company transformation and will be able to work with rich data across all Microsoft products and services. You will also need to partner closely with other Data Science teams in engineering, marketing and AI & Research who will help to execute, and scale based on the strategies and specialized knowledge of your team.

As the Data & Applied Scientist, you will be responsible to:

•Design, prototype, implement and test descriptive and predictive analytics models

•Work with data engineers to architect and develop operational models that run at scale

•Partner with teams to identify and explore opportunities for the application of machine learning and predictive analysis

•Communicates well with technical and non-technical audiences, and contributing modeling expertise as a team player

•Drive collaboration and partnership with other Data Science teams in Microsoft to drive customer success.

To be successful in this role, you must be driven, self-directed, entrepreneurial and focused on delivering the right results. You also need to have strong skills in written and oral communications, a can-do attitude and the willingness to tackle hard problems in innovative ways. You also thrive in a team environment that values cross team collaboration and building on the success of others.

Required Qualifications
•2+ years of industry work experience in SQL, R, or Python to implement statistical models, machine learning, and analysis (Prediction, Classification, Clustering, time series forecasting, regression models, etc.) in big data environment
•Bachelor or Master’s degree in computer science, statistics, economics, data science or related areas

Preferred Qualifications
•Advanced working knowledge of data mining using SQL, ETL and Data Warehouses
•Experience on large scale computing systems like Hadoop, MapReduce and/or similar systems preferred
•Experience with programming skills, e.g. Java, C# is a plus
•Experience/knowledge with customer success and product consumption across cloud technologies (ideally some understanding of Microsoft cloud products)
•Exceptional written and verbal communication to educate and work with cross functional teams
•Be self-driven, and show ability to deliver on ambiguous projects with incomplete or dirty data
•10% international travel

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.

If you find this opportunity to be compelling and can demonstrate your ability to excel as the leader for Customer Success Data Science Leader, we would like to explore the possibilities with you as soon as possible.

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