Product Data Scientist Job at Orbis Consultants

Product Data Scientist

About the Role: At Tripadvisor Experiences, the only thing we love more than tra...

Location

United Kingdom , London

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

Several years in a data science, analytics, or quantitative research role at a data-driven organization
strong product analysts who are actively upskilling in data science methods are encouraged to apply
Advanced SQL skills and hands-on experience querying and manipulating large datasets
Proficiency with data visualisation tools (Tableau, Looker or equivalent)
Experience with the full A/B testing process, from test design to results interpretation
Some proficiency in Python for analysis, experimentation and exploratory modeling
A track record of using data insights to influence product or business decisions
Comfort with ambiguity: you can define a question when it isn't handed to you, and you're energised by incomplete information rather than paralysed by it
A growth mindset: you're actively upskilling in more advanced analytics methods and always willing to learn new tools and techniques

Job Responsibility

Design and analyse A/B tests across Viator's marketplace, applying sound statistical methods to interpret results and support confident decision-making
Champion experimentation best practices: power calculations, guardrail metrics, and multiple testing corrections
Develop your mastery of causal inference and advanced experimentation techniques (e.g., difference-in-differences, propensity scoring, synthetic controls) as you apply them to answer questions that can't be randomized — such as measuring the impact of pricing changes on supplier retention or the long-term effect of personalization on traveler LTV
Own the measurement framework for your product area: define key metrics, build the instrumentation to track them, and surface insights that move the needle
Conduct exploratory analyses and deep dives into our data, using various data science approaches, to inform product decisions
for example, using tree-based or regression modeling to identify signals of high LTV
Enable self-service through scalable datasets, metrics, dashboards and reporting frameworks
Translate analytical outputs into actionable insights and clear product recommendations: not just 'here's the data,' but 'here's what it means for the next sprint and how we should test it.'
Act as a thought partner with product managers and engineers to ensure the right data questions are being asked
Translate analyses into clear narratives that are accessible to non-technical audiences — emphasising actionable insights and 'so what' over technical detail

Fulltime

Product Data Scientist

About Tripadvisor The Tripadvisor Group connects people to experiences worth sha...

Location

United Kingdom , London

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

Several years in a data science, analytics, or quantitative research role at a data-driven organization
strong product analysts who are actively upskilling in data science methods are encouraged to apply
Advanced SQL skills and hands-on experience querying and manipulating large datasets
Proficiency with data visualisation tools (Tableau, Looker or equivalent)
Experience with the full A/B testing process, from test design to results interpretation
Some proficiency in Python for analysis, experimentation and exploratory modeling
A track record of using data insights to influence product or business decisions
Comfort with ambiguity: you can define a question when it isn't handed to you, and you're energised by incomplete information rather than paralysed by it
A growth mindset: you're actively upskilling in more advanced analytics methods and always willing to learn new tools and techniques

Job Responsibility

Design and analyse A/B tests across Viator's marketplace, applying sound statistical methods to interpret results and support confident decision-making
Champion experimentation best practices: power calculations, guardrail metrics, and multiple testing corrections
Develop your mastery of causal inference and advanced experimentation techniques (e.g., difference-in-differences, propensity scoring, synthetic controls) as you apply them to answer questions that can't be randomized — such as measuring the impact of pricing changes on supplier retention or the long-term effect of personalization on traveler LTV
Own the measurement framework for your product area: define key metrics, build the instrumentation to track them, and surface insights that move the needle
Conduct exploratory analyses and deep dives into our data, using various data science approaches, to inform product decisions
Enable self-service through scalable datasets, metrics, dashboards and reporting frameworks
Translate analytical outputs into actionable insights and clear product recommendations: not just 'here's the data,' but 'here's what it means for the next sprint and how we should test it.'
Act as a thought partner with product managers and engineers to ensure the right data questions are being asked
Translate analyses into clear narratives that are accessible to non-technical audiences — emphasising actionable insights and 'so what' over technical detail
Be a champion of unbiased, rigorous analysis — including when the data doesn't support a stakeholder's hypothesis

Product Data Scientist

At Tripadvisor Experiences, the only thing we love more than travel is data. We ...

Location

United Kingdom , London

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

Several years in a data science, analytics, or quantitative research role at a data-driven organization
Advanced SQL skills and hands-on experience querying and manipulating large datasets
Proficiency with data visualisation tools (Tableau, Looker or equivalent)
Experience with the full A/B testing process, from test design to results interpretation
Some proficiency in Python for analysis, experimentation and exploratory modeling
A track record of using data insights to influence product or business decisions
Comfort with ambiguity
A growth mindset

Job Responsibility

Design and analyse A/B tests across Viator's marketplace, applying sound statistical methods to interpret results and support confident decision-making
Champion experimentation best practices: power calculations, guardrail metrics, and multiple testing corrections
Develop your mastery of causal inference and advanced experimentation techniques (e.g., difference-in-differences, propensity scoring, synthetic controls) as you apply them to answer questions that can't be randomized — such as measuring the impact of pricing changes on supplier retention or the long-term effect of personalization on traveler LTV
Own the measurement framework for your product area: define key metrics, build the instrumentation to track them, and surface insights that move the needle
Conduct exploratory analyses and deep dives into our data, using various data science approaches, to inform product decisions
Enable self-service through scalable datasets, metrics, dashboards and reporting frameworks
Translate analytical outputs into actionable insights and clear product recommendations
Act as a thought partner with product managers and engineers to ensure the right data questions are being asked
Translate analyses into clear narratives that are accessible to non-technical audiences — emphasising actionable insights and 'so what' over technical detail
Be a champion of unbiased, rigorous analysis — including when the data doesn't support a stakeholder's hypothesis

Product Data Scientist

We are seeking a Data Scientist II to join the Payments Data Science in Amsterda...

Location

Netherlands , Amsterdam

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

Bachelor’s with 5+ years, Master’s with 3–5+ years in a quantitative field (e.g., Statistics, Applied Math, CS, Operations Research, or Physics)
Expert proficiency in SQL and Python/R, specifically for the purpose of building scalable, flexible, and reproducible analytical frameworks
Proven ability to identify, frame, and solve complex business problems from scratch without requiring constant managerial guidance
Experience designing and executing complex A/B or switchback experiments, including a deep understanding of statistical power and variance reduction
History of contributing to technical documents (PRDs, ERDs, or white papers) that translate data into executable product strategy

Job Responsibility

Proactively identify high-impact business problems and define the analytical strategy to solve them, moving work forward autonomously
Deliver impactful insights that move key OKRs and business KPIs rather than focusing solely on task-based output
Communicate insights in the context of business outcomes, unblocking decisions for your productuser groups through clear, concise narratives
Design, execute, and analyze complex experiments, accounting for network effects and high variance in a two-sided marketplace
Partner with Product + Engineering to define app analytical events and schema requirements, ensuring data integrity is built-in at the point of collection
Ensure all work is reproducible, scalable, and verifiable
Conduct peer reviews and raise the technical bar for the team
Independently manage and influence cross-functional roadmaps by providing practical, well-thought-out recommendations that reflect a clear understanding of the 'why' behind the data
Synthesize complex data signals into Product and Engineering Requirement Documents (PRDs/ERDs) that provide clear, executable direction for senior leadership and stakeholders
Leverage AI-assisted coding and analysis tools to optimize workflows in the role

Product Data Scientist

This is a unique opportunity to join one of the most exciting Series-A AI compan...

Location

United States

Salary:

210000.00 - 260000.00 USD / Year

Orbis Consultants

Expiration Date

Until further notice

Requirements

4+ years in a product analytics or data science role within a high-growth tech company
strong with SQL and Python (or R)
experience designing experiments, building metrics from scratch, and influencing product direction
excited by working in AI-powered products, consumer experiences, or commerce tech

Job Responsibility

Partner closely with product and engineering to shape the roadmap through data
Design and analyze A/B and multivariate tests that guide product and UX decisions
Build and maintain the core metrics, dashboards, and experimentation frameworks that define success
Surface actionable insights from behavioral data and help translate numbers into strategy

What we offer

meaningful equity

Fulltime

Principal Product Data Scientist

Location

United Kingdom , London

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization
Expert Level proficiency in Python and SQL
Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering)
Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch
A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design)
Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products
Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation
Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists
Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field

Job Responsibility

Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences
Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization
Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility
Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production
Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes
Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value
Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence
Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities
Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap
Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams

Principal Product Data Scientist

About Tripadvisor The Tripadvisor Group connects people to experiences worth sha...

Location

United Kingdom , London

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization
Expert Level proficiency in Python and SQL
Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering)
Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch
A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design)
Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products
Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation
Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists
Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field

Job Responsibility

Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences
Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization
Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility
Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production
Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes
Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value
Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence
Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities
Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap
Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams

Principal Product Data Scientist

As a Principal Product Data Scientist, you will operate as the most senior techn...

Location

United Kingdom , London

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization
Expert Level proficiency in Python and SQL
Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering)
Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch
A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design)
Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products
Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation
Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists
Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field

Job Responsibility

Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences
Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization
Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility
Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production
Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes
Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value
Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence
Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities
Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap
Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams

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