Data Scientist II

1 week geleden

Amsterdam, Noord-Holland, Nederland Booking Voltijd

About

At , 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 make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we make it easier for everyone to experience the world.

About the team

Central Marketing Measurement (CMM) is looking for an experienced Data Scientist II to help develop accurate and meaningful statistical models to measure the short and long term impact of various campaigns across different marketing channels and drive incremental performance.

In this role, you will be responsible for high-impact projects aimed at measuring marketing effectiveness and optimizing the performance of our marketing spend. Projects may include (but not limited to) using econometric models to measure the ROI of online and offline Brand activities, design and analysis of non-randomized experiments, and measuring the incrementality of marketing spend, various marketing campaigns, and product / service offerings. The output of your work will be used to help inform the marketing strategy for the future of You will also work proactively with many stakeholders across different teams to set up measurement frameworks for various marketing activities to determine the success.

We are seeking a candidate with a proven ability to use statistics and econometric models to uncover complex relationships in data and use these insights to achieve business goals. The successful candidate should have a background such as in econometrics, statistics, mathematics, data science, computer science, and have experience using sophisticated statistical methods in an applied business setting.

Key Responsibilities

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 working primarily within the scope of their team to deliver work that informs business decisions for the product / business topic they currently work on, occasionally collaborating across multiple teams. 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. 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 peer's when a more efficient way presents itself. Responsible for leveraging Data Science for impact while learning to incorporate scalability, reproducibility and long term orientation in their work. Responsible for acting as a force multiplier for junior peers in the team by actively helping them with their craft through means of coaching, mentoring and setting a good example. Responsible for contributing to the community of their area by supporting community projects aimed at making other data professional more effective, actively participating in community strengthening activities (ie. recruitment) and connecting with peers beyond their area. ​​Must be knowledgeable about the larger data ecosystem at Booking and how it relates to the work they do. Responsible for collaborating with peers in related crafts (ie. Data Engineering), anticipating data needs to ensure smooth progress of their individual projects. Must be knowledgeable with the operational, tactical and strategic goals of their area (ie. track / vertical) and have high level knowledge of the goals of their wider area (ie. Business Unit). Responsible for ensuring quality of their own work by validating it through peer review. Responsible for influencing business decisions within their specific area (ie. product team).

Role Qualifications and Requirements

Experience solving real problems using data mining techniques and with statistical rigor Hands-on experience in A/B testing with strong knowledge of Statistical Methods Strong technical skills regarding data analysis, statistics, machine learning and programming. Strong working knowledge of Hadoop, Spark or SQL as well as coding experience with Python and/or R Experience in causal inference with observational data, econometric models, marketing attribution, and incrementality modeling Excellent communication skills Strong skills in translating business problems into data problems Strong stakeholder management Strong data visualization skills Strong skills in storytelling with data Strong knowledge of Statistical/Machine Learning (e.g. Dimension Reduction, Clustering, Regularization, Bagged/Boosted methods)

Benefits & Perks : Global Impact, Personal Relevance

Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country) A beautiful sustainable HQ Campus in Amsterdam, that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office* Commuting allowance and bike reimbursement scheme Discounts & Wallet credits to spend on our products, upgrade to Genius Level 3, and friends & family discount vouchers Free access to online learning platforms, development and mentorship programs Global Employee Assistance Program, free Headspace membership

#ThinkInclusion : Diversity, Equity and Inclusion at

Diversity, Equity and Inclusion (DEI) 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 , the diversity of our people doesn't just create a unique workplace, it also creates a better and more inclusive travel experience for everyone.

We will ensure that individuals with disabilities are provided reasonable adjustments to participate in the interview process. Please contact us to request adjustments.

Career Development Opportunities

Bi-annual performance conversations, company-wide mentoring program, and internal development opportunities Unlimited access to online learning platforms: Udemy, Coursera, LinkedIn learning, O'reilly

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.

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