Sr. Director, Data Science & Experimentation

12+ years in data science or applied machine learning, with 4+ years building and leading high-performing data science or analytics teams.

Deep expertise in causal inference and experimentation design, including A/B testing, difference-in-differences, holdout methodologies, and Bayesian experimental frameworks.

Strong machine learning background with experience building, validating, and deploying propensity models, forecasting models, recommendation systems, or audience models in production.

Proficiency in Python and SQL, with experience using distributed computing frameworks such as Spark, BigQuery, Databricks, or equivalent technologies.

building or meaningfully scaling an experimentation platform within a consumer internet or marketing-intensive organization.

Proven ability to translate complex model outputs and statistical findings into clear business recommendations for technical and non-technical audiences.

Track record of embedding data science into day-to-day marketing and product decisions through close partnership with cross-functional teams.

Experience with marketing mix modeling (MMM) and multi-touch attribution (MTA) at scale.

Familiarity with agentic AI systems and how machine learning signals support autonomous, real-time decision making in marketing workflows.

Advanced degree (MS or PhD) in Statistics, Computer Science, Applied Mathematics, or a related quantitative field.

Success in this role means establishing scalable experimentation and measurement capabilities that help teams make smarter marketing decisions.

You'll improve how the organization measures marketing effectiveness, increase experimentation velocity, and embed machine learning into marketing workflows in ways that create meaningful business impact.

#LI-BD2

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business operations and brand integrity.

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