Join our Business Intelligence Department, a multidisciplinary group of Data Scientists, Analysts, and Data Engineers. Together, we build machine learning and analytics products that directly influence GMV, conversion, and retention.
\nWithin the department, we’re building a new Marketing Analytics team and are looking for a Senior Data Scientist to drive its data science initiatives. In this role, you’ll work closely with Analysts, Engineers, and Marketing stakeholders to develop and productionize advanced machine learning, statistical, and predictive models that improve marketing performance and drive measurable company growth.
\nAs a Senior Data Scientist – Marketing, you’ll take strong ownership of data science initiatives that directly shape our marketing strategy and growth. You will:
\nPartner closely with Marketing, Marketing Analytics, and Marketing Technology to identify opportunities and translate business questions into scalable data science solutions.
\nLead the development of high-impact machine learning and statistical models for marketing use cases such as channel allocation, ad bidding, churn prediction, lifetime value, revenue attribution, and business metrics forecasting.
\nWork end-to-end - from translating business questions into hypotheses to researching, building, validating, and deploying models.
\nRun experiments and iterate in production: design A/B tests, monitor model performance, and continuously improve based on measured impact.
\nAdvance our MLOps practices with CI/CD pipelines, retraining workflows, lineage tracking, and documentation.
\nHelp define the team's roadmap and ways of working as a founding member of Marketing Analytics - your input will help shape this function.
\nAct as a senior role model in the team, sharing best practices and helping raise the bar for data science at Holidu.
\nWe're looking for someone with 5+ years of experience as a Data Scientist, with clear ownership of projects that delivered measurable business impact. You should have a degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field, and strong expertise in machine learning, statistics, and predictive analytics, with hands-on experience using Python and SQL.
\nExperience with marketing data science use cases such as attribution modeling, customer lifetime value prediction, churn modeling, or bid optimization is also required. You should have a solid understanding of marketing concepts across channels (e.g. Performance Marketing, SEO, CRM, Affiliate) and how data science can improve them.
\nAdditionally, you should have experience working with modern data stacks, ideally including AWS (Redshift, Athena, S3), Airflow, dbt, and Git. A collaborative mindset paired with great communication skills is essential, as you'll need to work with diverse stakeholders and explain complex topics in a simple way.
\nAI proficiency is also a plus, as you'll be comfortable using AI to enhance coding, planning, and monitoring, and successfully integrating AI tools (such as Claude code, Codex, Copilot, etc.) into your workflow and teaching others to use them efficiently.
\nIf you're excited about the opportunity to shape the future of travel with products used by millions of guests and thousands of hosts, apply now!
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