Data Scientist Ii

7 maanden geleden

Amsterdam, Nederland Booking.Com Voltijd

**Role description**:
**As a Data Scientist in the Experimentation Science Team, you focus on scalable solutions to the company’s most persistent challenges in decision making. You provide support to experimenters across the company, investigate problems and define clear solutions and requirements for their implementation, build proofs of concept and prototypes, and work closely with the engineering teams to support our product vision. The ability to write high quality, reproducible code and dig into technical product details and data pipelines is crucial to make your work impactfully landed in the Experimentation Tool, and enable solid decision making adoptable by a wide range of experimenters**

As a Data Scientist II, you’ll take full ownership of the design and delivery of data science solutions, from ideation to implementation. You are expected to combine sound business understanding, data handling, programming, statistical modeling and data visualization to derive actionable information from broad sets of data while valuing pragmatism over perfection.

Role Qualifications and Requirements
- Leading the design and delivery of entire Data Science solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently.
- Working primarily within the scope of their team to deliver work that advises business decisions for the product / business topic they currently work on, occasionally collaborating across multiple teams.
- Designing and interpreting quantitative experiments to objectively guide key business decision making.
- Independently identifying and managing partners 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.
- Using Data Science for impact while learning to incorporate scalability, reproducibility and long term orientation in their work.
- 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.
- Responsible for collaborating with peers in related crafts (ie. Data Engineering), anticipating data needs to ensure smooth progress of their individual projects.
- 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**
- Proficient in Pyspark and general Python
- Solid understanding of statistical and hypothesis testing
- Experience working closely with product teams (not just PMs, but directly with developers/engineers)
- Willingness to dig deep into problems and behind the scenes data to support troubleshooting/bug fixing
- Solution oriented and result driven
- Able to brainstorm, peer review and drive research topics benefit Experimentation and Decision Making in both short and long term
- Excellent English communication skills, both written and verbal; the ability to convey your message to team members and other partners, clearly and gently.
- Achieve impacts as a great teammate, and maintain solid relationships with technical and non technical stakeholders.

The following skills are assets for this role:

- Knowledgeable about statistical properties of (good) metrics, and ability to scalably test them
- Causal inference knowledge beyond A/B testing
- Understand the gist of scripts written in R
- Experience building libraries/modules in python
- Familiarity with apis using is good, building/maintaining is great
- Good understanding of fundamental machine learning concepts
- Solid understanding of reporting/visualization techniques (e.g., Tableau, Graphite, Power BI, etc.)

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

**Application Process**
- The interview process for this role entails a total of 3 interviews.

**Pre-**Employment** **Screening**:

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