Source Job

• Lead and scale a high-performing team of Analysts and Data Scientists embedded within Product domains.
• Set the bar for analytical quality, experimentation rigor, and data science application across multiple product areas.
• Partner with senior Product, Engineering, and Commercial leaders to shape strategy and drive measurable business impact.

Tripadvisor is the world's largest online travel site, visited by 390 million travelers each month. Its experiences business, Viator, is a fast-evolving, highly data-driven organization focused on building great products through data.

• Design and analyze A/B tests, applying statistical methods to interpret results and support product decisions.
• Own measurement frameworks and conduct exploratory analyses to inform product strategy.
• Translate analytical outputs into actionable recommendations for product managers and engineers.

Tripadvisor connects people to experiences worth sharing, aiming to be the world's most trusted source for travel. It is a publicly traded company with a portfolio of travel brands, including Viator and TheFork, and a culture centered around data-driven decision making.

• Lead product analytics, driving improvement through experimentation and AB testing.
• Analyze customer behavior using funnel, feature, cohort analysis, and segmentation.
• Support OKRs by creating reporting and insights to guide product and commercial performance.

Tripadvisor is a global travel platform that connects people with experiences worth sharing through rich content and marketplaces. As a publicly traded company with brands like Viator and TheFork, it fosters a data-driven culture focused on empowering decision-making through analytics.

• Collaborate with Product, Engineering, and Commercial teams as the analytical backbone of your pillar, blending statistical rigor with commercial judgment.
• Lead experimentation across your pillar, designing tests, sizing opportunities, and fostering evidence-based iteration.
• Create self-serve dashboards and standardize metrics using AI-assisted workflows to accelerate output and focus on high-value problems.

Software Mind develops impactful solutions for global companies, working with tech giants and unicorns on transformative projects. The culture embraces openness, respect, grit, and combines employment with enjoyment among cross-functional engineering teams.

• Conduct in-depth analysis to shape product-led growth and B2B strategy.
• Leverage AI tools to build self-service analytics enabling stakeholders to access reliable metrics.
• Collaborate with product and engineering teams to drive experimentation culture and practices.

Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and have the backing of some of the world's greatest investors, including OpenAI, Andreessen Horowitz, Redpoint Ventures, and Spark Capital.

• Own the end-to-end data science lifecycle for moderately complex models, from data ingestion to deployment and monitoring.
• Apply expertise in machine learning and statistics to solve marketplace problems, including bidding, yield modeling, and experimentation.
• Mentor junior data scientists and influence technical decisions within the team.

OpenX focuses on unleashing the economic potential of digital media companies by building digital advertising markets and technologies. The company is a growing and scaling team that values thoughtful, creative executors and a blend of market design, technical innovation, and operational excellence.

• Own the end-to-end experimentation operating system, including governance, standards, and quality controls.
• Drive experimentation velocity and coverage, ensuring balanced testing across product surfaces.
• Partner with Product, Engineering, and Data leadership to align on priorities and improve experimentation execution.

Tripadvisor is the world’s largest online travel site, visited by 390 million travellers each month. Its Experiences business, Viator, is a fast-evolving and highly data-driven part of the organisation with a strong emphasis on using data to build great products.

• Own end-to-end analytical problems from framing through modeling and stakeholder rollout.
• Build predictive and inferential models to improve product and operational decisions.
• Partner with Product, Engineering, and Operations to define metrics and drive insights.

Focal Systems is the industry leader in retail AI solutions, using deep learning computer vision to automate and optimize brick and mortar retail. They are a tight-knit team with an ambitious mission, deployed at scale with top retailers worldwide.

• Lead product measurement strategy by owning KPI frameworks and metric definitions that help teams measure long-term user value and business health.
• Generate proactive insights by exploring complex datasets to identify non-obvious user behaviors and quantify their impact on customers and business.
• Shape product strategy with data by synthesizing multiple data sources into clear, evidence-based recommendations for senior leaders.

Ancestry is the global leader in family history, connecting people with their past through a collection of over 65 billion records and a DNA network of over 27 million people. With over 3.5 million subscribers and 40 years of history, the company fosters an inclusive, diverse work environment with a location-flexible approach.

• Own data products end-to-end, delivering best-in-class outputs with a focus on accuracy, client value, and efficiency.
• Tackle complex data problems using strong analytical judgment to refine methodologies and solve challenges with creative thinking.
• Use AI and tooling to drive leverage, automating workflows while maintaining a high bar for correctness and quality.

YipitData is the leading market research and analytics firm for the disruptive economy, analyzing billions of alternative data points for investment funds and Fortune 500 companies. Recognized by Inc. as a Best Workplace for three consecutive years, the company operates globally with offices in the US, APAC, and India, emphasizing transparency, ownership, and continuous mastery.

• Generate insights that drive strategic direction through proactive analysis.
• Bring data-driven rigor to product development and structure complex projects.
• Create metrics to understand user behavior and drive product decisions.

Monzo is a digital bank on a mission to make money work for everyone, offering personal and business accounts, savings, investments, and pensions. With over 12 million customers in the UK and a strong culture of data-driven decision making, they have built a product that people love, with over 80% of growth coming from word of mouth and referrals.

• Conduct deep-dive exploratory analyses to understand user pain points and product usage insights.
• Design, develop, and maintain dashboards and reports using SQL for real-time product performance visibility.
• Partner with product managers and engineers to define data requirements and measure success of new features.

Lendbuzz develops innovative technologies to provide underserved borrowers with better access to credit. The company is setting up a presence in Argentina and values diversity, compassion, and simplicity.

• Build and productionize ML-driven systems for personalization, search, and recommendation to drive business impact.
• Utilize advanced algorithms and data mining to optimize product recommendations and improve conversion rates.
• Develop AI/ML systems across search ranking, recommendation, and content intelligence to enhance user growth and outcomes.

Sporty is a remote-first company focused on delivering personalized and data-driven experiences in the gaming industry. They are a global team pursuing sustainability with a competitive salary and quarterly performance bonuses.