Germany
EuropeSenior Data Scientist, Growth Data Products
1 мес. назад
GermanyEuropeSenior
data productsmarketing dataautomation
Develop innovative data products to drive growth by transforming marketing data into reliable insights and automated decision systems at .
Обязанности
- Develop innovative data products that not only enable suppliers to delight our customers but also drive the success of our company.
- Take full ownership of projects, guiding them from the initial business challenge to the deployment of production code. This includes:
- Analyzing large datasets to uncover meaningful insights
- Building and maintaining robust data pipelines
- Establishing rigorous evaluation and monitoring strategies, as well as in-production guardrails. Monitoring and optimizing data products after deployment
- Contribute to the development of our machine learning infrastructure and help establish best practices that will shape our future.
- Work closely with cross-functional technology and business teams, leveraging your unique perspective to solve complex and exciting problems.
- Support the continuous improvement and growth of our team, including participating in recruiting efforts to bring in new talent.
Как откликнуться
- Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘ how we hire ’ and ‘ life at ’. If you have any further questions, please don’t hesitate to get in touch at jobs@.com .
Другое
- Be part of the journey and connect people with unforgettable travel experiences worldwide. Since 2009, millions of travelers have booked unique activities with us in over 12,000 cities. Our headquarters in Berlin is supported by 16 other local offices across the globe.
- Ready to join a diverse community of over 850 fellow explorers dedicated to revolutionizing the travel experience industry? Check out our careers site to learn more.
- Growth Data Products (GDP) drives 's growth engine by transforming raw marketing data into reliable, self-service insights and automated decision systems. Our work spans every growth channel—Paid and Organic Search, Display Advertising, CRM and Lifecycle Marketing, Brand Marketing, Marketing Attribution, Experimentation, and Customer Lifetime Value measurement. We empower teams across the organization to make faster, smarter decisions at scale, turning data into actionable intelligence that fuels our mission to connect millions with unforgettable travel experiences.
- As a valued member of our inclusive and dynamic team, you will collaborate closely with fellow Data Scientists, MLOps Engineers, and business stakeholders continuously innovating to enhance the quality of our marketplace catalog. Together, we strive to make every travel experience unforgettable.
- Machine Learning . You have 5+ years of experience deploying ML models in production coupled with a solid understanding of ML techniques and their practical applications. Experience deploying and maintaining ML models in production is a must.
- Analytics . Ability to turn data into actionable insights for business stakeholders. Experience with hypothesis testing and proficiency in analytics tools (e.g., pandas/polars) and SQL/Spark.
- Experience with LLMs and Agentic AI . You have experience working in production with prompt design, tool use, orchestration (e.g., LangChain), retrieval/RAG, evaluator design, guardrails, and tracing/observability is a plus.
- Software Engineering Proficiency in Python . Knowledge of distributed machine learning and computing frameworks (e.g., Spark) is beneficial.
- Business Acumen. You have experience in a fast-paced business environment, demonstrating result-driven work.
- Communication. Strong skills in explaining complex concepts to both technical and non-technical stakeholders.
- An advanced degree in a quantitative field or equivalent practical experience.
- Experience with data science in marketing and growth.
- Annual personal growth budget and mentorship programs for continuous learning and development
- Work from anywhere in the world for 30 days per year
- A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
- Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
- Monthly transportation and fitness budget
- Discounts for you, your friends, and family on activities
- Language reimbursement program
- Health and wellness benefits
- And more…
- Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application.
- #LI-Hybrid