Marketing Data Scientist

Redmond, Washington, United States

Microsoft

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At Mojang Studios, the creators of Minecraft, we are on a mission to build a better world through the power of play.

 

Why play? Well, play is at the heart of everything we do. It’s the blocky backbone of our games, the core of our development philosophy, and even the origin of our name. From the relentless experimentation of our endlessly inspiring community to the classrooms where Minecraft has become an essential teaching tool, play is the bedrock of our existence.

 

We enable millions to create and play together, connect people across the globe, and foster a community that is among the most active and passionate in the world. Our community is global and incredibly diverse. When we are developing anything within our franchise, we keep this in mind. We want everyone to not only feel included in Minecraft, but also to see themselves in what we make. Our goal is for the Mojang Studios team to be as diverse as our community.

 

 

We are seeking a talented and driven Marketing Data Scientist to join our Player and Data Insights team at Mojang Studios. In this fast-paced and high-visibility role, you will uncover actionable insights that drive our marketing strategies and enhance player engagement. You will be a key player in transforming data into compelling stories that inform decision-making and drive business outcomes.

Responsibilities

  • Craft complex data into clear, actionable insights and compelling narratives that resonate with stakeholders across the organization.
  • Level up our understanding of trends, drivers, and opportunities with your knowledge of marketing analytics, statistics, and machine learning.
  • Mine efficiently through large datasets in a Databricks environment using SparkSQL and PySpark.
  • Coordinate work with fellow data scientists and marketing, product, and engineering teams to create timely analysis focused on business outcomes.
  • Stay on the leaderboard of industry trends and marketing analytics to ensure our methods are always game-changing.

Qualifications

Required Qualifications:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience
  • 3+ years of marketing analytics experience
  • 3+ years of experience with Python or SQL
  • 2+ years of experience with dashboarding tools  

 

Preferred Qualifications:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results))
    • OR equivalent experience.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until December 21, 2024.

 

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.

 

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Category: Data Science Jobs

Tags: Computer Science Databricks Econometrics Economics Engineering Machine Learning Mathematics PySpark Python Research SQL Statistics Teaching Unstructured data

Perks/benefits: Career development Medical leave

Region: North America
Country: United States

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