Data Science Manager

hace 4 semanas


Barcelona, Barcelona, España Microsoft A tiempo completo
Job Description

Microsoft is seeking an experienced Principal Data Science Manager to lead analytics efforts for the Partner Success team. This team is responsible for content acquisition and business development with media partners.

The ideal candidate will have a strong background in data science, with experience in statistical analysis, data visualization, and business modeling. They will work closely with leaders across the Content team, Product team, and Ranking team to acquire more publishers for the Start platform and ensure their success.

The role involves delivering deep analytical insights on key drivers of business success, creating KPIs and setting goals for key teams, and performing business modeling to identify points of growth and initiate projects with positive long-term ROI.

The successful candidate will have a Doctorate or Master's degree in Data Science, Mathematics, Statistics, or a related field, and significant data-science experience. They will also have customer-facing experience, project-delivery experience, and experience developing metrics and reporting using technologies such as SQL DBs and Spark.

We are looking for a candidate who can embody our culture and values, and who is passionate about using data to drive business insights and successful outcomes.

Responsibilities
  • Work closely with the content team to understand business problems and collect, organize, and analyze data from multiple environmental sources and telemetry systems.
  • Create KPIs and set goals for key teams that are directly aligned with business success.
  • 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 know when, how, and which to use.
  • Create self-service powerful dashboards and reports for various stakeholders through reporting platforms.
  • Provide comprehensive analysis of the current state of the product, identify best data sets, Data Science methodologies, algorithms, tools, and infra needed to generate insights that affect decision making.
  • Own the delivery of reporting and insights on a regular cadence to stakeholders and senior leadership teams.


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