Are you someone with a passion for data, analytics, insights and technology? Do you want to work on a new initiative in Office 365 providing environmental sustainability features for customers? We are building a new team to focus on this space.

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
• Architect and develop operational models that run at scale in partnership with developers
• Communicate well with technical and non-technical audiences, and contributing modeling expertise as a team player
• Create key metrics, reports and dashboards to support business health
• Opportunity analysis and hypothesis generation for stages throughout the end-to-end user lifecycle
• User centric ML models that drive new experiences in the Office applications and services

Qualifications

• Bachelor’s degree or higher in Statistics/Math/Computer Science or related field
• At least 2 years' experience in either software engineering/programming in C#/C++/Java or in building statistical models in R/Python/SQL for prediction, classification, clustering, time series forecasting, regression models, etc.
• Experience with a data query language such as SQL, KQL, or SCOPE
• Working knowledge of data mining using SQL, Big Data, ETL and Data Warehouses such as COSMOS, Kusto, Hadoop, MapReduce or similar
• 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
• Familiarity with deep learning toolkits, e.g. CNTK, TensorFlow, etc. is a plus

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 via the Accommodation request form.