The Microsoft digital store is looking for a data scientist who has approved capability in designing and prototyping analytical solution to measure the incremental business impact of various marketing activities. The Microsoft Stores reach hundreds of millions of customers worldwide each month through Xbox console, microsoft.com, and windows app ---three digital storefronts as well as Microsoft physical stores. The mission of Microsoft store is to delight every customer with fantastic and unified learning and buying experience.
Our data scientist team leverages big data to empower business decisions and deliver metrics, insights and tools. We are now looking for a talented and driven data scientist to accelerate our efforts and be a major part of our data-centric culture. The marketing science data scientist is responsible for designing and prototyping highly-scalable solution to measure the incrementality of marketing activities, e.g. email/CRM campaign, seasonal promotion, launching new features to store. This individual will work closely with cross functional teams such as store marketing, product category, store feature/capability, and data engineering to develop and deliver models and analytics solution. Successful candidates will exhibit technical acumen and business savvy, with a passion for making impacts through timely actions. This individual will be scrappy, focused on results, a self-starter, and have demonstrated success in using analytics and statistics to measure business impact and create customer insights.
Apply expertise in quantitative analysis and statistics to analyze the incrementality of marketing activities.
Define and measure success KPIs/metrics through applied data science
Prototype analytics solution to measure incrementality and impact.
Partner with data engineering teams to turn the prototype into automation tool.
Provide analytics leadership and innovation
BS/MS in a quantitative field
2+ years of experience in leading data science projects
1+ year of experience in R, Python, SQL or SAS
1+ years of experience in machine learning or modeling with large (GB/TB) datasets
1+ years of experience of designing and analyzing A/B test experimentation at large scale
Excellent communication and presentation skills to non-technical audiences
Experience with email campaign, and seasonality promotion campaigns metadata management.
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.