Senior Data Scientist
Location:
Redmond , Washington
Posted:
February 21, 2018
Reference:
1081667
Are you someone with a passion for data, analytics, insights and technology? Do you want to work on one of the largest data science teams at Microsoft, lighting up actionable insights that drive the key business decisions for the entire Office365 organization?

The Office Insights, Data Engineering & Analytics team (Office IDEAs), is the newly formed central data science team for Office365 engineering and marketing. The team is looking for a passionate, creative, analytical and experienced data scientist who loves big data, are curious to explore and that wants to impact business decisions.

Our team plays a key role in providing data and analytics for Office365 and owns the end to end decision sciences charter that includes:
Bringing the relevant data into a central system to create the single version of truth
Creating key metrics, reports and dashboards to support business health
Opportunity analysis and hypothesis generation for stages throughout the end-to-end user lifecycle
Building advanced analytical models (behavior segmentation, churn prediction, purchase propensity, recommendation engine, etc.) that spans engineering, marketing, partners and finance
User centric ML models that drive new experiences in the Office applications and services

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.

Responsibilities:
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

Qualifications:
Master’s degree or higher in Statistics/Math/Computer Science or related field
5+ years of industry work experience in SQL, R, Python to implement statistical models, machine learning, and analysis (Prediction, Classification, Clustering, time series forecasting, regression models, etc.) in big data environment
Advanced working knowledge of data mining using SQL, ETL and Data Warehouses
Experience on large scale computing systems like COSMOS, Hadoop, MapReduce and/or similar systems preferred
Experience with programming skills, e.g. Java, C# is a plus
Familiarity with deep learning toolkits, e.g. CNTK, TensorFlow, etc. is a plus
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

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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