Senior Data Scientist

Microsoft is hiring a Senior Data Scientist in Redmond, WA onsite to support Media Data Science & Analytics (Frontier Marketing) with causal measurement of incremental advertising impact.

Responsibilities

• Design and apply causal inference approaches (quasi-experimental methods, incrementality testing, observational analysis) to estimate the impact of media investments when randomized experiments are limited or infeasible.
• Assess marketing strategy performance while accounting for data limitations, confounding, selection bias, and uncertainty.
• Convert causal findings into decision-oriented narratives for senior marketing and business stakeholders.
• Use advanced statistical techniques and machine learning as appropriate, emphasizing interpretability and causal validity over purely predictive performance.
• Choose methods that fit the data and business context, balancing rigor with practical constraints.
• Write high-quality, reusable analytical code in Python and SQL to support reproducible research, exploratory analysis, and ongoing measurement.
• Identify measurement improvements, validate assumptions, and promote best practices informed by academic research and industry experience.
• Prepare, validate, and analyze complex marketing datasets, including identifying data quality issues, structural changes, and limitations that affect inference.
• Proactively communicate data risks, constraints, and implications to senior partners, with appropriate scoping and caveats.
• Maintain high standards for data ethics, privacy, and responsible use across collection, modeling, and interpretation.

Requirements

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques, reporting results).
• Master’s 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, reporting results).
• Bachelor’s 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, reporting results).
• Equivalent experience.

Technologies

• Python
• SQL

Benefits

• 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

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 ... AND 6+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).
• 5+ years’ experience building ML models.
• 5+ years’ experience writing SQL to analyze data.
• 5+ years’ experience writing code in Python.
• 3+ years’ communicating complex technical concepts to non-technical partner teams.
• 1+ years’ experience performing causal inference.
• 1+ years’ experience with media / marketing data science.

What Success Looks Like

• Media investment decisions are guided by credible causal insights rather than surface-level correlations.
• Stakeholders understand not only what the data suggests, but also the confidence level and underlying reasons.
• Recommendations reflect data constraints and uncertainty, earning trust through transparency and rigor.
• The team applies causal thinking to complex marketing measurement problems, even when data is imperfect.

Role Details

• Location: Redmond, WA (onsite).
• Salary: USD 119,800 - 261,000 per yearly.
• This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Data Science IC4 Pay Range

• Typical base pay range across the U.S.: USD $119,800 - $234,700 per year.
• Base pay range in the San Francisco Bay area and New York City metropolitan area: USD $160,200 - $261,000 per year.