Data Scientist Ii

6 maanden geleden

Amsterdam, Nederland Booking.Com Voltijd

**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.

**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 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 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
- Free access to online learning platforms, development and mentorship programs
- Global Employee Assistance Program, free Headspace membership

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**:

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