Microsoft's Global Media and Partnerships team is seeking a Senior Data Scientist - Media Optimization to drive business impact through world-class media investment and measurement strategies by planning, activating, and fiscally managing paid media/advertising, strategic partnerships, and agency relationships.
Requirements
- 3+ years experience building predictive models.
- 3+ years experience writing SQL to analyze data.
- 3+ years experience writing code to include: Python, R or comparable languages.
- 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)
- 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)
- Media Specialty Experience
Responsibilities
- Prepare and manage data for project plans, proactively detect changes, and communicate updates to senior leads.
- Develop usable data sets, contribute to data ethics and privacy policies, and engage with customers about data integrity and cleanliness.
- Ensure models align with business goals, evaluate their effectiveness, design feedback methods, mentor engineers, and present findings to stakeholders.
- Provide technical feedback to the engineering team, identify business opportunities, propose collaborations, support strategy execution, leverage existing systems, share industry knowledge, and contribute to thought leadership and best practices.
- Use machine learning solutions and algorithms to identify the best approach for objectives.
- Understand and apply modeling techniques, manage data quality, and communicate findings to stakeholders.
- Write scripts in T-SQL, U-SQL, KQL, Python, and R.
Other
- Embody our culture and values.
- Microsoft is an equal opportunity employer.
- Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
- If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
- Microsoft will accept applications for the role until October 31, 2025.
