Data Science Manager Insights, Marketing Science Measurement- Experimentation

channels. This is a unique opportunity to join a world-class team at a data-led company.

The Manager, Data Science Insights will collaborate with various marketing department teams to understand how different forms of experimentation can drive high-impact business decisions. We are looking for someone passionate about applying their statistical skills in a fast-paced business environment. This manager will lead a team of four talented data scientists and be an integral part of the Marketing Science Measurement team.

Key Job Responsibilities and Duties:

Leadership:

• Think strategically and identify areas where data science can make a significant impact on the supporting department (scope)

• Build a strong team within your area, by coaching and developing Team Leaders and Individual Contributors;

• Be able to prioritize work depending on business needs and keeping stakeholders aligned at all times

• Translate data science insights vision and strategy into execution keeping in mind the needs and specificities of the team and the scope

Commercial Awareness:

• Play an instrumental role in evolving and designing new applications of data science to business problems

• Take ownership and understand goals and objectives of supporting business partners, translating them into DSI requirements/framework

Craft:

• Bring vision and strategy to improve efficiency in the way data science teams work

• Drive implementation and deployment of complex projects within the scope. Work closely with the other managers to ensure teams are always working towards what's most important for the customers and to help the department achieve its goals.

• Work closely with team members to ensure data quality, provide technical and tactical support, remove roadblocks and provide active support

• Have expertise in data visualization and storytelling, be capable of driving actions from stakeholders

• Data management (engineering, flows...) Responsible for technical implementation and maintenance of data processing services and storage systems in line with the Data Governance Framework; Responsible for data management related Data Governance processes as defined in the Data Governance Framework (E.g. monitoring of data quality, management of data lineage, and maintenance of logical data model).

Communication:

• Capable of articulating complex concepts in simple terms to senior stakeholders

• Advocate of data science with their main stakeholder(s)

• Work closely with other internal entities to ensure their teams are always working towards what's most important for customers and to achieve high business impact

• Ensure clear and effective communication to their stakeholders: proactively keeps all stakeholders informed of what's happening, upcoming changes, projects, issues, etc.

Communication Stakeholder

• Team members

• Business Area stakeholders

• Manager Analytics / Manager DSI

• Sr/Principal Data Scientists

• Track/Business Area product or tech

Qualifications & Skills:

• Master degree, PhD or equivalent experience in a quantitative field (e.g., Statistics, Mathematics, Econometrics, Computer Science, Physics, Engineering, Bioinformatics, or similar)

• 6+ years of equivalent experience (with Master Degree) or 3+ years (with PhD)

• 1+ year management or equivalent experience (desired)

• Expert in solving real problems using data mining techniques and with statistical rigor

• Ability to coach and mentor team members on the best tools and techniques to tackle their challenges, or guide them to experts in the area

• Ability to build a strong team within their area, designing and iterating team processes, and maintaining a healthy, collaborative and open culture

• Expert in stakeholder management (senior stakeholders)

• Expert technical skills regarding data analysis, statistics, machine learning and programming. Strong working knowledge of Hadoop, Spark, SQL, Python and/or R.

• Strong experimentation skills including:

  • Experimental designs
  • Casual inference
  • Randomization techniques

• Excellent communication skills

• Expert in translating business problems into data problems

• Expert data visualization skills

• Expert in storytelling with data

• Expert in statistics and experimentation

• Strong knowledge of data management (engineering, data pipelines, workflows)

• Expert knowledge of the possibilities and limitations of different types of data analysis and/or data science modelling

Benefits & Perks:

Booking.com's Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, 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

Diversity, Equity and Inclusion (DEI) at Booking.com:

Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations.

Take it from our Chief People Officer, Paulo Pisano: "At Booking.com, the diversity of our people doesn't just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It's a place where you can make your mark and have a real impact in travel and tech."

We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

Application Process:

• Application and CV Review

• Recruitment Phone Screen

• Business Interview 1

• Business Interview 2

• FIT Interview

• Hiring Decision

Let's go places together: How we Hire

This role does not come with relocation assistance.

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

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.