Data Scientist

hace 4 semanas

Barcelona, Barcelona, España Microsoft A tiempo completo

We are seeking a highly skilled Data Scientist to join our team at Microsoft. As a Principal Data Science Manager, you will be responsible for conducting analytics for the Partner Success team, which is responsible for all content acquisition and business development with media partners.

Our goal is to connect perceptions, behavioral, and financial data to uncover unique insights that help drive decisions. You will work closely with leaders across the Content team, Product team, Ranking team, and other teams to acquire more publishers for the Start platform and ensure their success.

This role requires technical depth and experience leveraging statistics, data analysis, and visualization to drive business insights that lead to action and successful business outcomes.

Responsibilities:

  • Work closely with the content team to understand business problems, 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.

Qualifications:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience.
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience.
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data science experience.
  • OR equivalent experience.
  • Customer-facing, project-delivery experience, professional services, and/or consulting experience.
  • Experience developing metrics and reporting using technologies such as SQL DBs, Spark, etc.
  • Data analysis experience with languages like Python/R.

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