Data Scientist
3 weeks ago
The role of a Principal Data Scientist at Microsoft is to conduct analytics for the Content ecosystem growth team, which is responsible for all content acquisition and business development with media partners.
This team is focused on building personalized and engaging content feeds for Microsoft users. As a Principal Data Scientist, you will be working closely with the leaders across Content team, Product team, Ranking team, and other teams to acquire more publishers for MSN and ensure they become successful.
You will be responsible for delivering deep analytical insights on the key drivers that drive business success. This involves working with vast data sets, connecting perceptions, behavioral, and financial data to uncover unique insights that help drive decisions.
Key responsibilities include working closely with the content team to understand business problems, collecting, organizing, and analyzing data from multiple environmental sources, telemetry systems, and creating KPIs and setting goals for key teams that are directly aligned with business success.
Additionally, you will perform business modeling that helps identify points of growth and initiate projects with positive long-term ROI, learn and understand a broad range of data resources, and create self-service powerful dashboards and reports for various stakeholders through reporting platforms.
You will also own the delivery of the reporting and insights on a regular cadence to the stakeholders and senior leadership teams.
Requirements:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
- 7+ years of experience developing metrics and reporting using technologies such as SQL DBs, Spark etc.
- 5+ years of data analysis experience with languages like Python/R
Preferred Qualifications:
- Demonstrated background in Data Science and Analytics, hypothesis driven, with a passion for data and a bias for action.
- Experienced in framing and participating in data-driven business decisions, including measuring, and evaluating outcomes.
- Ability to communicate clearly complex ideas and concepts to leadership and deliver results.
- Comfortable with manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems.
- Prior working experience with Content related products is a plus.
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