Role description
Key Job Responsibilities and Duties
Responsible for defining the strategy and vision for generating impact in one or more Data Science solutions by driving it from ideation to prototyping to full productionisation.
Responsible for proactively identifying and autonomously prioritizing impactful strategic business problems, translating them into data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverages input from product stakeholders in all of the above to determine the right technical solutions to deliver customer value. May seek guidance from the manager on complex business problems.
Responsible for driving key projects within the scope of their team to deliver work that informs business decisions across multiple products / business topics in parallel and/or core products / business topics of the area they work in, while self-prioritizing at high velocity. Regularly collaborating across multiple teams.
Responsible for designing and interpreting quantitative experiments to objectively drive long-term strategic business decision making.
Responsible for autonomously identifying and managing a broad range of stakeholders, from operational to senior managerial roles and, as required, Director level stakeholders. Maintains effective communication, addresses stakeholder needs, and conveys complex analysis results clearly. Continues to guide less experienced colleagues in all of the above, but may seek guidance from the manager in complex situations with senior stakeholders.
Responsible for exploring and modifying existing internal and external Data Science approaches. Makes these solutions reusable by designing for easy adoption and proactively educating and upskilling peers on how to effectively utilize these solutions in their work.
Responsible for incorporating scalability, reproducibility and long term orientation in the work they do. Regularly sharing best practices with peers in their area.
Responsible for acting as a force multiplier for peers in their area by actively helping them with their craft through means of coaching, mentoring and setting a good example.
Responsible for contributing significantly to the community of their area by thinking of and implementing ways to make other data professionals more effective (ie. group trainings, community projects), actively participating in community strengthening activities (ie. recruitment) and connecting their area to the rest of the business.
Responsible for proactively collaborating with peers in related crafts (ie. Data Engineering) on all projects owned by their team, anticipating data needs to maintain smooth execution of projects.
Responsible for having significant deep knowledge about the operational, tactical and strategic goals of their area (ie. track / vertical) and be knowledgeable 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 wider area (ie. track / product).
Must be a subject-matter expert in one area of Data Science (ie. methodology, technology) and its application as an end-to-end product that generates business impact, acting as a go-to Data Science authority for senior business stakeholders of their area.
Role qualifications and requirements
A minimum of 8 years of professional experience as a Data Scientist, preferably in software, product or e-commerce environments
Fluent in Pyspark and general Python
Strong working knowledge 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 stakeholders, clearly and gently.
Achieve impacts as a team player, and maintain solid relationships with technical and non technical stakeholders.
Understand the complexity of experimentation from both craft and product perspectives, and how to effectively drive scalable solutions for continuous improvements.
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
Strong knowledge of reporting/visualization techniques (e.g., Tableau, Graphite, Power BI, etc.)
: 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
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
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.
