Data Scientist III - Growth Marketing

Expedia Group

$137K — $192K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a quantitative field or equivalent experience in data analytics or data science
  • Strong proficiency in SQL and either Python or R for statistical analysis
  • Ability to translate business problems into analytical tasks with actionable insights
  • Exceptional communication skills, simplifying complex ideas for diverse audiences
  • Proven track record of actionable insights that enhance marketing or business outcomes

Responsibilities

  • Identify and prioritize opportunities for data-driven marketing insights
  • Design and evaluate marketing experiments to optimize resource allocation
  • Develop models and prepare datasets using SQL and Python/R
  • Create engaging presentations and dashboards for various stakeholders
  • Automate reporting processes for self-service analytics capabilities

Benefits

  • Medical, dental, and vision insurance
  • Paid time off
  • Employee Assistance Program
  • Wellness and travel reimbursement
  • Travel discounts and IATAN membership
Full Job Description
Data Scientist III - Growth Marketing

Introduction to the team

We create and deliver tailored marketing strategies for Expedia Group's brands, focusing on establishing strong connections and cohesive experiences for travelers and partners. We leverage our functional expertise and creative excellence to build trust and loyalty for our brands through innovative marketing approaches and technology.

As a Data Scientist on the Growth Marketing team, you use data, experimentation, and modeling to grow Expedia Group's brands efficiently and profitably. You partner with Marketing, Product, Engineering, and Analytics and excel at turning complex data into clear stories and priorities for action.

In this role, you will:
  • Spot and prioritize high-impact opportunities where data, experimentation, and visualization can clarify performance and guide marketing strategy.
  • Design and evaluate marketing experiments and measurement frameworks (e.g., A/B tests, incrementality, pre/post, causal impact, casual inference, regression, multivariate analysis) to optimize spend, targeting, and creative across channels.
  • Build models and analysis-ready datasets using SQL and Python/R, working with large, multi-source marketing and product data.
  • Create clear engaging presentations and dashboards for technical and non-technical audiences.
  • Automate recurring reporting and enable self-serve analytics so partners can independently access trustworthy data and insights.


Minimum Qualifications:
  • Bachelor's degree in a quantitative field with 2-4 years of relevant experience, OR 5+ years in a comparable data analytics or data science role
  • Strong proficiency with statistical analysis and data manipulation tools (such as SQL and a programming language like Python or R), and experience working with complex, high-volume datasets in a production analytics environment
  • Proven ability to frame business problems as analytical tasks and deliver actionable insights
  • Excellent communication and storytelling skills; you simplify complexity, highlight what matters, and influence decisions with clear visuals and narratives
  • Demonstrated experience delivering data-driven insights and recommendations that materially improved marketing or business performance


Preferred Qualifications:
  • Graduate degree in a quantitative discipline (e.g., Statistics, Applied Mathematics, Computer Science, Econometrics, Operations Research) with a focus on advanced analytics, experimentation, or machine learning
  • Performance/growth marketing understanding and hands-on experience running and interpreting experiments (A/B tests, regression-based analysis, incrementality, etc.)
  • Demonstrated depth in designing and interpreting complex marketing experiments, uplift modeling, or causal inference approaches at scale, including for multi-channel or multi-touch attribution and budget optimization
  • Proactive, self-directed working style and a track record of learning and applying new analytical or modeling techniques
  • Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to build scalable analytics pipelines and automate repeatable tasks


The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.

Benefits and perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediggroup.com/life.

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