Data Scientist II – AI in Customer Service
This is 6 months initially, 40 Hours per week, it is 110 EUR per hour (VAT is paid on top, there are no agency fees), and it requires 2 days per week in the AMS office.
-great working with data
-strong stakeholder management
-being able to program in Python
Are you passionate about transforming data into impactful solutions? Do you thrive in a fast-paced environment where innovation and collaboration drive business success? Come be a key contributor to Booking.com’s expanding AI capabilities in customer service. As a Data Scientist, you will lead the design and execution of advanced data analyses, experimental evaluations, and AI product enhancements that elevate the experiences of millions worldwide.
In this pivotal role, you will explore large-scale datasets to uncover valuable insights, develop and interpret experiments such as A/B tests, and work closely with cross-functional teams—including Product, Engineering, and Analytics—to deliver measurable impact. Your expertise will help shape the future of AI-powered customer solutions, mentoring team members and constantly pushing the boundaries of data science.
What You Bring:
- Master’s degree or higher in Computer Science, Statistics, Mathematics, Econometrics, or a related quantitative discipline
- Proven proficiency in Python for data analysis and modeling
- Strong SQL skills, experience with Snowflake and PySpark
- Deep understanding of experimentation, A/B testing, and causal inference
- Prior experience working on product analytics or AI/ML-driven projects
- Excellent communication skills and ability to manage stakeholder relationships
- Ability to work independently in a dynamic, fast-moving environment
Nice to Have:
- Experience with cloud-based data platforms
- Knowledge of advanced statistical methods and causal reasoning
- Contributions to open-source data science communities
Preferred Education & Experience:
- A background with at least 3+ years in data science, analytics, or AI-focused roles
- Demonstrated success leading end-to-end data projects in a product environment
Additional Requirements:
- Willingness to collaborate across teams in different time zones
- Commitment to continuous learning and innovation in AI and data science
Embark on a career where your insights drive change and innovation. If you're ready to make a meaningful impact through data, apply now and join a global team dedicated to redefining customer experience through cutting-edge AI solutions!
