Key Job Responsibilities and Duties
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. E.g.
Develop and improve the experimentation framework to ensure high quality decision making.
Monitor performance measurement, maintain and develop data pipelines and dashboards.
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. Leverage input from business partners in all of the above to determine the right technical solutions to deliver customer value. E.g.
Discover trends, patterns, etc. in product related metrics to support stakeholders in decision making.
Designing and interpreting quantitative experiments to objectively guide key business decision making.
Responsible for collaborating with peers in related crafts (i.e. (Data) Engineering), anticipating data needs to ensure smooth progress of their individual projects.
Responsible for contributing to the community of their area by supporting community projects aimed at making other data professionals more effective, actively participating in community strengthening activities (i.e. recruitment) and connecting with peers beyond their area.
Role qualifications and requirements
Experience solving real problems using data mining techniques and with statistical rigor
Strong skills in translating business problems into data problems
Strong knowledge of the possibilities and limitations of different types of data analysis and/or data science modelling
Experience in experimentation, statistical and hypothesis testing
Strong technical skills regarding data analysis, statistics and programming in python and pyspark
Strong working knowledge of data management (engineering, data pipelines, workflows) with pyspark / Snowflake
Excellent English communication skills, both written and verbal; the ability to clearly convey your message to team members and other stakeholders.
Achieve impact as a team player, and maintain solid relationships with technical and non-technical stakeholders.
The following skills are assets for this role:
Knowledgeable about sequential testing/always valid p-values
Good understanding of machine learning concepts
Experience building libraries/modules in python
Strong knowledge of reporting/visualization techniques (e.g. Tableau, Grafana, Power BI, etc.)
Close collaboration with product teams (not just PMs, but directly with developers/engineers)
Flexibility to accommodate change and thrive in ambiguity.
: 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 , 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 Booking.com Genius Level 3, and friends & family Booking.com discount vouchers
Free access to online learning platforms, development and mentorship programs
Global Employee Assistance Program, free Headspace membership
Application Process:
Let’s go places together:
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.
