Ouryahoo

Ouryahoo

Sr. Director, Data Science & Experimentation

United States of America · Director

Sponsorship not specified$180k-$392kDetected 4 days ago
PythonSQLBigQueryDatabricksMachine LearningSparkData EngineeringData ScienceAgentic AIStatisticsA/B TestingGrowth MarketingPerformance MarketingForecastingLeadership

About the role

  • Yahoo serves as a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products.
  • This role is for a builder who is equally comfortable designing the statistical architecture of a major experiment and translating complex findings into clear recommendations for senior business leaders.
  • What Success Looks Like Success in this role means establishing scalable experimentation and measurement capabilities that help teams make smarter marketing decisions.

Responsibilities

  • Own the experimentation platform and methodology for the Growth & Media team, including A/B testing, incrementality studies, geo holdouts, matched market tests, and multi-armed bandit frameworks that improve decision speed.
  • Build and lead a team of data scientists and analysts focused on growth measurement, marketing attribution, audience modeling, customer lifetime value prediction, and forecasting.
  • Develop causal inference frameworks that measure the true incremental impact of paid, organic, and owned marketing programs, moving beyond last-click attribution to more rigorous measurement.
  • Design and deploy predictive models, including propensity, customer lifetime value, churn, recommendation, and lookalike audience models that inform budget allocation, targeting, and retention strategies across channels.
  • For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results.
  • We build the measurement, experimentation, and technical capabilities that help drive customer acquisition, engagement, and long-term growth.
  • Director of Data Science & Experimentation, you'll build and lead the quantitative backbone that powers marketing decisions across Yahoo's Growth & Media organization.
  • From experimentation and causal inference to predictive modeling and real-time audience signals, your team will help shape how we measure performance, optimize investment decisions, and improve customer acquisition and engagement.

Requirements

  • Proficiency in Python and SQL, with experience using distributed computing frameworks such as Spark, BigQuery, Databricks, or equivalent technologies.
  • 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.
  • 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.
  • Experience building or meaningfully scaling an experimentation platform within a consumer internet or marketing-intensive organization.

Nice to have

  • Experience with marketing mix modeling (MMM) and multi-touch attribution (MTA) at scale.
  • Advanced degree (MS or PhD) in Statistics, Computer Science, Applied Mathematics, or a related quantitative field.
  • What Success Looks Like
  • Success in this role means establishing scalable experimentation and measurement capabilities that help teams make smarter marketing decisions.
  • 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

Compensation

  • The compensation for this position ranges from $180,310.00 - $392,430.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in th

Benefits

  • Work closely with technical product leadership on agentic growth tooling to embed machine learning signals and model outputs into autonomous marketing workflows, enabling agents to act on high-quality data.

Company info

  • Establish and scale the team's experimentation culture by increasing testing velocity, improving statistical rigor, and building tools that make experimentation a core part of how the team operates.
  • A Little About Us
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This listing is sourced directly from Ouryahoo's careers page and normalized into a canonical job model.