Tripadvisor on cord

Tripadvisor

Principal Data Scientist

External position
London, UK
Hiring internally for Tripadvisor?
Travel · Marketplace
Your future shaping programmatic media partner.
Posted
a week ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: Data Scientist
Experience level: Senior, Lead, Leadership
Core skills considered: A/B Testing, Artificial Intelligence, Data Analysis, Data Modeling, Data Pipelines
Other skills considered: Data Protection, Data Security, Deep Learning, Machine Learning, Python

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

As a Principal Data Scientist you will be a leading individual contributor responsible for how experimentation works across the organisation.

You will lead through technical depth, setting the standards others work to and raising the quality of measurement and decision-making across the function.

You will build the capability that lets teams experiment well without central support: the standards, tooling and protocols that make good practice the default, and a strategy for how it develops over time.

Both the speed and the reliability of decision-making should improve as a result. You will also take on the measurement questions we cannot currently answer well, where traffic is thin or the outcomes that matter take months to appear.

You will:

  • Set the technical standard for experimentation across Product Data Science, from conventional A/B testing to quasi-experimental and Bayesian methods, and make it practical through protocols, frameworks and tooling.
  • Partner with Product, Engineering and Data Platform teams to improve experimentation velocity without sacrificing rigour.
  • Critically assess how experimentation and the decisions that follow it affect platform health and growth, and make that relationship visible to leadership.
  • Own the measurement approach for Viator's most complex questions, where standard experimentation is insufficient and the method has to be designed rather than selected.
  • Develop and validate the statistical methods the organisation relies on, including simulation-based verification that they behave correctly before teams depend on them.
  • Act as the final technical authority on measurement validity, adjudicating disputed results and determining what the evidence does and does not support.
  • Standardise recurring analytical and experimentation processes across the function, using automation and AI capabilities where they materially improve consistency, throughput or quality.
  • Design and land methodological improvements with organisation-wide impact, such as variance reduction for difficult metrics, approaches for low-traffic surfaces, proxy and surrogate metrics for long-horizon outcomes, and designs that hold up where users compete for shared supply.
  • Grow the technical depth of the wider team by reviewing designs, mentoring senior data scientists, and improving how people reason about measurement.
  • Advise on where experimentation is the wrong tool and define what should be done instead.

Skills & Experience:


Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organisation.


Statistical & Experimentation Expertise: Authoritative command of experimentation in all its forms, from experimental design and variance reduction to causal inference, bandits and Bayesian methods. You should be able to develop and validate methodology, not only apply it.


Technical & Modelling Expertise: Expert level proficiency in Python and SQL. Deep, hands-on experience with statistical modelling, (quasi) experimentation, multi-arm bandits, and a wide range of machine learning techniques such as regression, classification and clustering.


Product Acumen: Demonstrated ability to define, implement and operationalise crucial product and feature-level metrics from scratch.


Partnership & Enablement: Demonstrated ability to improve how other teams work by providing guidance, tooling and protocols, increasing both the speed and the quality of their experimentation rather than absorbing the work yourself.


Decision Impact & Platform Health: Ability to critically assess how product decisions affect platform health and growth over time, and to bring that perspective into how experiments are designed and interpreted.


Standardising at Scale: Experience standardising processes, frameworks or methods across multiple teams, including the use of AI and automation to make good practice the default.


Cross-Functional Partnership: Proven ability to build strong relationships and drive outcomes across Product, Engineering, Data Platform and other central functions, often without direct authority.


Critical Thinking: Leader in critical thinking, with a demonstrated habit of establishing whether a result is trustworthy before establishing what it means.


Communication: Exceptional ability to explain measurement, method and uncertainty clearly to technical and non-technical audiences at every level.


Education: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.


You could be an especially great fit if you have:

  • Experience with experimentation in a two-sided marketplace, where interference between users and finite shared supply complicate measurement.
  • Experience building and validating proxy or surrogate metrics for long-horizon outcomes, and a clear view of how far they can be trusted.
  • Experience with Bayesian and hierarchical approaches, particularly for low-traffic surfaces or pooling evidence across many small markets.
  • Experience building or materially improving experimentation platforms, measurement frameworks, self-service capabilities or data products.
  • Experience in a high-scale technology company, marketplace, e-commerce business or travel technology organisation, and familiarity with the seasonality and long purchase cycles that come with them.
  • Breadth in statistical modelling and machine learning, such as regression, classification, clustering and bandits, alongside your experimentation depth.
  • Experience applying AI, Large Language Models, agentic AI or automation to improve analytical productivity and decision-making effectiveness.
  • A reputation for raising the standard of thinking and decision-making in every team you join.
  • Experience with SaaS experimentation tools such as Statsig, Eppo or GrowthBook, or with an in-house platform.
Principal Data Scientist at Tripadvisor
Position posted a week ago

Talk directly
to who's hiring

cord intros you to the companies worth joining, from seed to enterprise.

Everything you need to find work

Surface every relevant position, direct message the people hiring and manage all your applications in one place.

Get started

Every position in one place

We index the web for open positions that might be relevant to you and bring them all in one place.

Positions you might like split into tabs based on their type

Direct messaging

No more CV blackholes. Message people hiring directly and see their activity live on cord.

A sent message to a hiring manager
A board of positions in different stages

Application management

Manage all your applications and interviews in one place.

Advanced insights

Know your worth and see how you compare with other applicants.

Visualisation of a profile match score for a position and score comparison with other applicants

Direct.
Transparent.
Human.

On cord you can message people hiring directly, see when they were last active, how responsive they are and access transparent information that you wouldn't be able to find anywhere else.

Photos people at Starling BankPhotos people at Starling BankPhotos people at Starling BankPhotos people at Starling BankPhotos people at Starling Bank
Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
Message Alex Yeates at Starling Bank
Typically responds in an hour

What people are saying

2,000+

users joining every week

Oliver on cord

Oliver

Software Engineering Consultant
It's really easy to use, has a solid selection of jobs, and makes it helpful to direct message companies. The platform seems to offer a good range of opportunities while keeping the process simple and convenient.
November, 2025
David on cord

David

Lead Software Engineer
The platform allows you to create a professional CV, making the setup process simple and polished. The internal chat also provides an easy way to directly contact hiring companies, which makes communication much more efficient.
November, 2025
40,000+

open positions

Nicolae on cord

Nicolae

Senior Full Stack Developer
It is a great platform if you are looking for a job. It makes the search process straight forward and gives you access to solid opportunities.
November, 2025
3 million+

messages exchanged so far

Nicolae on cord

Nicolae

Senior Full Stack Developer
It is a great platform if you are looking for a job. It makes the search process straight forward and gives you access to solid opportunities.
November, 2025
81.25%

response rate from companies

Aarambha on cord

Aarambha

Associate Software Engineer
Absolutely amazing idea, the ability to see which recruiters are active makes finding opportunities very quick. There is a form of transparency built into the website that lacks in any other job searching platform.
August, 2025
Adam on cord

Adam

Senior Engineer
cord was great. Clean UI, easy to browse, and the data feature made it a breeze to quickly check whether my profile would match up well with a particular role. The messaging system made it easy to approach companies but also filter out unwanted requests.
August, 2025
4.6

score on Trustpilot

Talk directly to the people that matter

Join the hundred of thousands of people using cord to find work

Get started
 on cord
 on cord
 on cord
 on cord
 on cord
+427 joined last week
Moved to your Not right positions