Data Scientist II - Value Growth Data

About Us:
At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We're the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.

Our team is dedicated to embedding agile values and principles across the organization. Our mission is to foster a culture where continuous improvement, collaboration, and customer-centricity are at the heart of everything we do by leveraging fast flow, fast feedback and climate for learning capabilities.

Through education and coaching, we equip individuals and teams with the mindsets, behaviours, and practices needed to thrive in agile environments. We lead transformational change by guiding teams and departments through shifts in mindset, culture, and ways of working.

By promoting transparency, collaboration, and empowerment, we cultivate an environment where teams take ownership, adapt quickly, and tackle complex challenges together. We drive continuous improvement by proactively identifying constraints to value delivery and evolving behaviours and processes that support long-term, sustainable growth.

• Responsible for owning the design and delivery of entire Data Science solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently.
• Responsible for working autonomously on consuming data, preparing it for data science use, translating business problems to data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverages input from business stakeholders in all of the above to determine the right technical solutions to deliver customer value.
• Responsible for designing and interpreting quantitative experiments to objectively guide key business decision making.
• Responsible for independently identifying and managing stakeholders in operational, project-based, and managerial roles. Effectively communicates, addresses stakeholder needs, and conveys complex analysis results in a clear manner. Flag roadblocks, prioritizes their workload, and manage expectations with stakeholders. Begins to guide junior colleagues in stakeholder engagement.
• Responsible for being flexible in adopting existing internal and external Data Science approaches, proposing and spotting opportunities to apply new approaches and expanding their technical competencies and their peers when a more efficient way presents itself.
• Responsible for ensuring quality of their own work by validating it through peer review.

• Master degree or PhD or equivalent experience in a quantitative field (Statistics, Mathematics, Econometrics, Computer Science, Physics, Engineering, Bioinformatics, or similar)
  Minimum 3 years of professional experience as a Data scientist
• Experience solving real problems using data mining techniques and with statistical rigor
• Strong technical skills regarding data analysis, statistics, machine learning and programming. Strong working knowledge of Spark, SQL, Python and/or R.
• Strong skills in translating business problems into data problems
• Strong data visualization skills
• Strong knowledge of Statistical Methods (e.g. Testing, GLM, Inference), Statistical/Machine Learning (e.g. Dimension Reduction, Clustering, Regularisation, Bagged/Boosted methods), Relational Markov models, Time Series, etc
• Strong knowledge of data management (engineering, data pipelines, workflows)
• Strong knowledge of the possibilities and limitations of different types of data analysis and/or data science modelling
• Strong stakeholder management skills and fluent in English

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

• Let's go places together: How we Hire
• This role does not come with relocation assistance.