Data Scientist, Media Sciences

1 Week ago • 1-5 Years • Data Analyst • $98,300 PA - $208,800 PA

About the job

Job Description

This Data Scientist role at Microsoft's Research + Insights Team involves mining 1P and 3P big data for actionable marketing insights. Responsibilities include building predictive models using various data, collaborating with data engineering teams on data requirements and storage, and ensuring model scalability. The role requires applying technical consumer marketing/media data knowledge to modeling design, collaborating with other data scientists, and writing durable code using SQL, Python, Azure Databricks, and similar tools. Statistical assessment of model quality and audience prediction scaling are also crucial. The work must comply with Microsoft's Privacy Policy and Secure Future Initiative. The candidate will create requirements for media-based models and analytic approaches and track/analyze audience-related KPIs.
Must have:
  • Doctorate or Master's/Bachelor's with relevant experience
  • Experience in marketing analytics/data science
  • Proficiency in Python and SQL
  • Predictive model building expertise
  • Model scaling experience (Databricks, etc.)
Good to have:
  • 5+ years' experience in marketing analytics
  • Knowledge of audience testing technologies
Perks:
  • Industry-leading healthcare
  • Educational resources
  • Product and service discounts
  • Savings and investments
  • Maternity/paternity leave
  • Generous time away
  • Giving programs
  • Networking opportunities

Overview

Microsoft’s Research + Insights Team is among the brightest, boldest, most innovative in the world. We are intellectually curious, analytical, persistent in sharing our opinions and recommendations, and believe impact is a team sport. We strive to have an open, inclusive, and transparent culture.

As part of this team, you will have the opportunity to work on business-critical projects, learn from experts, and make a real impact on the future of technology. We are seeking an experienced and motivated Data Scientist to join our team. 

 

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

 

 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

Required/Minimum Qualifications

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ years) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.
  • Experience working within marketing analytics/ data sciences, advertising agency, or similar.
  • Experience with Python and SQL.
  • Experience building predictive models.
  • Experience scaling models leveraging tools such as Databricks and languages.

Additional or Preferred 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)
  • 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.
  • 5+ years' experience working within marketing analytics/ data sciences, advertising agency, or similar including knowledge of the latest audience testing technologies.

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 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 $127,200 - $208,800 per year. Certain roles may be eligible for benefits and other compensation.

 

Find additional benefits and pay information here:

 

Microsoft will accept applications for the role until January 17, 2025. 

 

Responsibilities

This exciting new role informs crucial marketing efforts by mining 1P (first party) and 3P (third party) big data assets for actionable insights to diagnose and uncover new opportunities. They will build predictive models using various data and collaborate with those in data engineering teams on data requirements and storage, including guidance on model scaling. All of these responsibilities will be completed in compliance with Microsoft’s Privacy Policy and in accordance with our Secure Future Initiative.

  • Apply technical consumer marketing/ media data knowledge to inform modeling design.
  • Collaborate with other data scientists on business goals and outcomes for audiences.
  • Write durable code for predicting audiences based on testing goals and addressable market sizes using SQL, Python, Azure Databricks and similar tools.
  • Use statistical knowledge to assess quality of models and audience predictions.
  • Scale audience models to ensure usable sizes for testing.
  • Create requirements and drive consistency for various media based models and analytic approaches.
  • Track and analyze KPIs relating to audience.
  • Embody our and .
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect
View Full Job Description
$98.3K - $208.8K/yr (Outscal est.)
$153.6K/yr avg.
Redmond, Washington, United States

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