Microsoft Corporation Data & Applied Scientist II in Redmond, Washington

The Liquid engineering team is driving the digital transformation of Microsoft’s trustworthy computing strategy. We are responsible for delivering Liquid, an (internal) data-centric cloud service that manages data used to support compliance and risk decision making across the Company, particularly focused this year on the security of all Microsoft products and services. Our focus is company-wide, so we partner broadly with engineering teams, compliance and risk managers, and corporate leadership. The demand for our services continues to increase, as does the volume and complexity of the work required to deliver, so we’re looking for great people to join the team.

If you are seeking a team culture that's casual yet high-energy and grounded in delivering solutions to solve real Microsoft challenges, this is the team for you. We are an agile team of motivated, strong professionals with a can-do attitude. We enjoy partnering with other teams to develop comprehensive solutions.

We are looking for a passionate Sr. Data & Applied Scientist to help dive deep into our data, surfacing the key insights that positively impact our business and provide value to our strategic partners. The right person for this position will be a creative individual with an entrepreneurial spirit, coupled with excellent data analysis skills.

In this role you will have the opportunity to make significant impact in how the Company manages compliance (security, accessibility, privacy, etc.) and risk related to our products and services, helping us to identify and address emerging areas of risk or opportunity. You will work with members of the Liquid business, as well as our partner teams, to identify the data and develop the key metrics necessary to track progress in achieving our business outcomes and surface actionable recommendations.

As a team we are proud of our approach to work/life balance: we believe that achieving compelling business goals does not mean sacrificing our goals as people. If you are excited by the opportunity to work in a critical business area and build long-term value for Microsoft, then we want to hear from you!

Responsibilities

  • Responsibilities: Working with stakeholders to turn business problems into data analysis questions, and then unearthing deep insights through analysis of data.

  • Selecting the appropriate methodology through which to conduct data analysis, apply machine learning and develop the models necessary to generate accurate and actionable insights

  • Using telemetry to provide data-driven insights, as well as defining the key telemetry to measure future outcomes against.

  • Using PowerBI as a tool to organize and expose data through reporting, as well as leverage this tool to allow deeper examination of data to derive additional insights.

  • Combine analysis of data with deep insight into business problem to improve quality of data not just within Liquid but also impact quality of data within engineering teams

Qualifications

  • Qualifications: Computer Science degree or demonstrable equivalent experience

  • Strong skills in data querying techniques and languages, including SQL and for large scale analysis R, Python, and related tools

  • Experience building Power BI reports that use big data

  • 4+ years’ experience in developing data models

  • Experience with Azure data-centric technologies –ADL, ADF is a plus

  • Demonstrated history of innovative thinking and problem-solving skills in Big Data problems.

  • Experience with machine learning & data mining.

  • Deep familiarity with statistical models & methods.

  • Experience with large scale computing systems like COSMOS, Hadoop, ADL and/or similar systems is a plus.

  • Proven ability to manage projects with or without direct authority and deliver tangible results

  • Excellent communications & interpersonal skills, with the ability to communicate complicated analysis & insights to a non-technical audience.

  • Demonstrated ability to work across organizational boundaries, combined with strong skills at influencing stakeholders

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 at https://careers.microsoft.com/us/en/accommodationrequest .

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.