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About the Company
We are one of the fastest growing vacation rental technology platforms globally, supporting tens of thousands of property hosts and millions of guests each year. Our mission is to make booking and hosting holiday homes seamless, transparent, and enjoyable.
With a diverse international team and a strong product led culture, we combine data, technology, and experimentation to continuously improve the experience for both hosts and guests.
The Team
You will join a newly formed Dynamic Pricing and Revenue Management team alongside a Data Analyst and a Data Engineer.
The team's core objective is to help property hosts increase occupancy and earnings through smart, data driven pricing strategies. You will work with large scale, high quality datasets in a modern cloud based data environment, focused on measurable business impact.
Tech Environment
Python based data science environment
AWS stack including Redshift, Athena, Glue, S3
Airflow and dbt for data pipelines
Looker for visualization
SQL and Python for analytics
Git for collaboration
Your Role
As a Senior Data Scientist, you will take ownership of complex pricing and forecasting models and translate analytical concepts into tangible commercial impact.
You will:
Translate business questions into scientific, testable models and clear recommendations
Design and own machine learning, forecasting, and predictive models across revenue management topics such as demand forecasting, price elasticity, and conversion probability
Develop dynamic pricing strategies including weekend adjustments, early booking incentives, and regional pattern analysis
Partner closely with Data Analysts and Data Engineers to define datasets, features, and model requirements
Lead discussions on model assumptions, trade offs, and performance, always focusing on business impact
Monitor and iterate on model performance to continuously improve accuracy and relevance
Act as a senior contributor within the team, raising the bar for data science standards and mentoring others
Your Profile
5 plus years of experience as a Data Scientist solving diverse business problems
Strong foundation in statistics, forecasting, and machine learning
Hands on experience with Python and SQL, comfortable working with large datasets
Interest in pricing, revenue optimisation, or marketplace dynamics, prior revenue management experience is a plus
Proactive, self starting mindset with strong ownership
Ability to communicate complex concepts clearly to both technical and non technical stakeholders
What's on Offer
High impact role influencing products used by millions
Strong learning culture with mentorship and dedicated learning budgets, including AI focused development
International, collaborative environment with ambitious and supportive colleagues
Modern cloud based tech stack within a proven, scaling business
Hybrid working model with flexibility and international mobility options
Travel benefits, gym discounts, and additional perks
