Role Description:
Horizontal Marketing Services is looking for an experienced Data Scientist II to help design and run experiments to measure and optimize our marketing efforts across different marketing channels and drive incremental performance.
Key Job Responsibilities and Duties:
- Own the design and delivery of entire Data Science solutions based on business requirements, from idea generation to implementation.
- Autonomously consume data, prepare it for data science use, and solve business problems through suitable statistical analysis and modeling methods.
- Leverage input from business stakeholders to determine the right technical solutions.
- Design and interpret quantitative experiments to guide key business decision making.
- Communicate complex analysis results clearly and begin to guide junior colleagues in stakeholder engagement.
- Embrace existing internal and external Data Science approaches, propose new ones, and expand technical competencies when a more efficient way presents itself.
- Incorporate scalability, reproducibility, and long-term orientation in their work while maximising Data Science for impact.
- Act as a force multiplier for junior peers through coaching, mentoring, and setting a good example.
- Contribute to the community by supporting projects aimed at enhancing other data professionals' effectiveness and participate in community-strengthening activities like recruitment.
- Collaborate with related crafts such as Data Engineering to ensure smooth project progress and influence business decisions within their specific area
Qualifications & Skills:
Strong working knowledge of Experimentation: A/B testing, geo-testing, power analysis, sample size determination, minimum detectable effect sizes, familiarity with biases in experimentation, meta-analysis etc.
Strong working knowledge of descriptive and inferential statistics.
Experience solving real problems using data mining techniques and with statistical rigor
Excellent communication skills
Strong skills in translating business problems into data problems
Strong stakeholder management
Strong coding and data visualization skills
Strong skills in storytelling with data
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 modeling
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:
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
Application Process:
Let’s go places together:
Your recruiter will be in touch to discuss the hiring process with you and interview stages to expect
This role does not come with relocation assistance.
Pre-Employment Screening
If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.
