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About the Role

As a Data Scientist III, Analytics at Expedia B2B, you will apply advanced statistical and machine learning techniques to supply optimization challenges. You will manage analytical workstreams, mentor junior colleagues, and engage regularly with stakeholders up to VP level, driving data-driven decisions that improve outcomes for global B2B partners.

Responsibilities

• Apply advanced statistical and machine learning techniques to supply optimisation challenges, delivering data-driven insights and recommendations that create measurable business impact.
• Extract, structure, and transform data from multiple sources independently to build datasets suited for modelling and in-depth analysis.
• Design and execute measurement frameworks — including A/B testing, causal impact analysis, and multivariate methods — selecting the appropriate technique based on the business question and clearly communicating trade-offs.
• Build, evaluate, and iterate on statistical models (e.g. regression, clustering, classification), correctly interpreting outputs and translating findings into actionable recommendations.
• Develop clear, audience-appropriate data visualisations and narratives that communicate insights to both technical and non-technical stakeholders.
• Lead small analytical workstreams end-to-end, partnering with stakeholders to refine requirements, agree on scope, and evolve the approach based on findings.
• Automate repeated measurement and reporting tasks and build scalable dashboards, enabling self-serve analytics for stakeholders across the business.
• Produce high-quality project artefacts — including technical documentation, presentations, and executive summaries — tailored to the appropriate forum and audience.
• Collaborate openly with analytics peers, domain experts, and business stakeholders to validate approaches, share knowledge, and socialise findings.
• Provide coaching and constructive feedback to junior team members on statistical techniques, visualisation best practices, and data quality standards.
• Champion reproducibility by writing shareable, well-documented code and contributing to shared repositories such as GitHub or Confluence.

Requirements

• PhD, Master's, or Bachelor's degree in Mathematics, Statistics, Computer Science, or a related technical field; or equivalent related professional experience
• 4–6 years of experience in a data science or analytics role (with a relevant degree), or 7+ years of comparable professional experience in a data analytics role
• Demonstrable experience delivering data-driven insights that drove meaningful change or performance improvement across multiple projects using varied analytical techniques
• Advanced proficiency in SQL, Python, or R for data extraction, transformation, and visualisation at scale
• Proficient understanding of statistical concepts including regression, ANOVA, probability, and frequentist vs. Bayesian approaches, with the ability to distinguish statistically significant results from exploratory analysis
• Experience applying a range of modelling techniques (e.g. linear and logistic regression, clustering) and iterating on models to improve accuracy and business relevance
• Proficient communication skills, with demonstrated ability to present clear data stories and insights to audiences of varying technical levels
• Experience in supply optimisation, pricing, marketplace analytics, or a related domain
• Familiarity with big data querying tools such as Presto, Hive, BigQuery, or Hadoop
• Exposure to Bayesian methods, causal inference, or multi-armed bandit approaches
• Experience collaborating with Machine Learning Data Science teams to validate and scale models for business impact
• Familiarity with inclusive data visualisation design principles, including accessible colour selection and charting best practices

Skills

• SQL
• Python
• R
• Statistical modelling
• Machine learning
• Data visualisation
• A/B testing
• Causal impact analysis
• Multivariate methods
• Regression
• Clustering
• Classification
• Big data querying tools
• Bayesian methods
• Causal inference
• Multi-armed bandit approaches
• Inclusive data visualisation design

Experience Level

• 4-6 years
• 7+ years

Education Level

• PhD
• Master's
• Bachelor's degree
• Equivalent related professional experience

About the Company

• Expedia Group helps travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
• Expedia B2B is the B2B arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more.
• Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.

Equal Opportunity

• Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, sexual orientation, national origin, disability or age.