Senior Data & Applied Scientist
MicrosoftRedmondUpdate time: November 25,2019
Job Description

Are you passionate about working with Big Data to solve business problems that directly impact our customers and our revenues and costs? Are you excited about gaining new insights and intelligence, and answering critical questions based on data?


Welcome to the Data Science & Analytics team in Microsoft’s OneDrive & SharePoint. We are a unique set of consumer and enterprise cloud services with hundreds of millions of accounts, with access points from phones, tablets, XBOX & PCs, sharing & collaborating on documents, photos & music with a large social network. Every day 100s of terabytes of data are generated, making it an exciting Big Data problem. 

Responsibilities

We are looking for exceptional Senior Data Scientist to: 

  • Dive deep into data to find key insights that impact the business 
  • Actively mine petabytes of data on cloud computing infrastructure 
  • Develop models of usage, user behavior & business behavior
  • Build key predictive, regression, causal, time-series & optimization models
  • In this role, you will have the opportunity to make significant impact on user acquisition, retention and revenue growth
  • Work with other teams across Microsoft to develop key metrics to achieve business outcomes  
  • Surface actionable recommendations. Focus will be on final customer & business impact 

Qualifications

A Successful candidate should:

  • Show strong passion for & understand the need to deliver right business impact by working with stakeholders to turn business problems into data analysis questions, and then unearthing deep insights from data.  
  • Have a track record of Innovative thinking and problem-solving skills in Big Data problems. 
  • Be self-driven, and show ability to deliver on ambiguous projects with incomplete data. 
  • Strong skills in econometrics, decision sciences, machine learning & data mining.
  • Deep familiarity with statistical models & methods (time-series analysis, regression analysis, experimental design, hypothesis testing, etc.). 
  • 5 years of professional experience on large scale computing systems like Hadoop, MapReduce and/or similar systems.  
  • Strong skills in SQL , R, Python, SAS and related tools for large scale analysis.
  • Experience in C#/C++ or similar languages 
  • Excellent communications & interpersonal skills. Ability to convince other strong personalities of their ideas and communicate complicated analysis & insights to non-technical audience. 

 

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.

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