Viator, a Tripadvisor company, is the biggest marketplace for experiences in the travel industry. We have more than 300,000 bookable products in almost every country on the planet, and are helping millions of travelers every month to discover things to do.

Data isn’t just a number at Viator, it’s a product that serves as a key input to nearly every decision we make. We are seeking a Senior Data Scientist to influence the business across multiple areas. Sitting within the Experimentation Platform Team you’ll be working on developing and maintaining the platform running all experimentation at Viator. You’ll also be working closely with the Mar-Tech team where you’ll play a pivotal role in analyzing and optimizing our marketing strategies. You’ll collaborate closely with software engineers, analysts and product managers within these teams as well as across the wider business to ensure we’re building high quality models and tooling that meet business requirements.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      

We are seeking a Data Scientist who will:

• Design, develop, and implement statistical models and algorithms to analyze the effectiveness of various marketing channels and tactics.

• Create and refine marketing mix models to assess the impact of different variables on business performance.

• Work proactively to identify opportunities for improvement in experimentation methodologies, ensuring best practices in line with the latest advances in the industry.

• Employ advanced statistical techniques to ensure the validity and reliability of experimental findings.

• Identify and apply causal inference techniques to solve business problems. 

Key Requirements

• A postgraduate degree in statistics, machine learning, or similar OR demonstrable experience with the data science lifecycle - i.e. from problem definition to model deployment and beyond (monitoring and improvement).

• In-depth knowledge of statistical hypothesis testing and ML modeling techniques.

• Experience in using Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn).

• Significant experience in using SQL.

• Experience in delivering data products.

• Ability to communicate effectively with audiences of various backgrounds, levels, and functions.

• Experience in conducting and analyzing AB tests in an E-commerce setting is a plus.

• Understanding of marketing analytics, particularly in the realm of marketing mix modeling, is a plus. 

What's in it for me:

• Competitive salary, bonus and stock for all staff regardless of level.

• Health, dental, life, critical illness and long term disability insurance.

• Lifestyle benefit – this is very cool. Every year you are given an allowance for your lifestyle, this could be for a holiday, gym membership, family support and much more.

• 25 days annual leave plus the days between Christmas and New Year as our offices are closed.

• Summer flexi-time, May to September all employees can request for compressed hours in order to make the most of daylight savings and enjoy life. We are an experiences company after all!

Does the idea of transforming Viator’s data and analytics capabilities using the latest tech appeal to you? If so, then we’d love to hear from you!

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If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to AccessibleRecruiting@Tripadvisor.com and let us know the nature of your request . Please include the job requisition number in your message.

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