Senior Data Scientist

Role Overview

The Senior Data Scientist will help drive product and business decisions through data-driven insights, experimentation, measurement frameworks, and advanced analytics for experiences running on Windows devices worldwide.

What You Will Do

As a Senior Data Scientist, you will tackle complex business and product challenges by applying analytical rigor, statistical techniques, experimentation, and data-driven thinking. You will partner closely with cross-functional teams to identify opportunities, evaluate product investments, measure customer impact, and influence strategic decisions.

Why It Might Be a Fit

This role requires a passion for using data, experimentation, and analytics to shape product strategy and customer experiences. The ideal candidate will have experience applying statistical inference, predictive modeling, forecasting, and quantitative analysis to solve business and product challenges.

Requirements

• Bachelor’s Degree or higher in Data Science, Statistics, Computer Science, Engineering, Economics, Mathematics, or another quantitative discipline.
• 8+ years of experience in Data Science, Analytics, Applied Statistics, or a related field.
• Experience applying statistical inference, predictive modeling, forecasting, and quantitative analysis to solve business and product challenges.
• Deep experience in experimentation, A/B testing, causal inference, and statistical analysis.
• Experience designing and operationalizing product, customer, or business success metrics.
• Experience working with large-scale data platforms such as Spark, Hadoop, Cosmos, or similar technologies.
• Solid programming skills in Python, SQL, C#, Java, or similar languages.
• Demonstrated ability to influence decisions through data-driven insights and recommendations.
• Exceptional collaboration, communication, and stakeholder management skills.
• Ability to thrive in highly ambiguous environments and drive clarity and action.
• Passion for mentoring others and continuously learning emerging analytical and AI-related techniques.
• Experience supporting large-scale consumer products or services.
• Experience with product analytics, customer measurement, engagement analysis, growth, retention, or monetization scenarios.
• Familiarity with Generative AI, Large Language Models (LLMs), and modern AI evaluation methodologies.
• Experience building executive-facing narratives and communicating complex analytical findings in a simple, actionable manner.