QualificationsSQLMapReduceDeep learningTensorFlowCommunication skillsMaster’s degree
The Insights, Data Engineering & Analytics team (IDEAs), is a central data science team for M365 engineering and marketing. We are looking for a passionate, creative, analytical, and experienced Senior Data Scientist who loves big data, is curious to explore, and who wants to impact business decisions.
Location: We are hiring in the following locations: Atlanta, Redmond, and fully remote within the US. This team is primarily located in Bellevue, WA.
Our team plays a key role in providing data and analytics for M365 and owns the end to end decision sciences charter that includes
Bringing relevant data into a central system to create the single version of truth
Opportunity analysis and hypothesis generation for stages throughout the end-to-end customer lifecycle
Building advanced analytical models (behavior segmentation, churn prediction, purchase propensity, recommendation engine, etc.) that spans engineering, marketing, and finance
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 communication, a can-do attitude, and the willingness to tackle hard problems in innovative ways. You must also thrive in a team environment that values cross team collaboration and building on the success of others.
Design, prototype, implement and test descriptive, predictive analytics, forecasting, and causal inference models
Work with 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
Communicate with technical and non-technical audiences, and contribute modeling expertise as a team player
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 (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment
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 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.
For the state of Colorado, the salary range for this role is from $133,900-$200,900. At Microsoft certain roles are eligible for additional rewards, including annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. Benefits/perks listed here may vary depending on the nature of your employment with Microsoft and the country where you work. US-based employees gain access to healthcare benefits, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and fitness benefits, among others.