Data Scientist (Trust & Transparency)

at  Trustpilot

OUR VISION IS TO BE THE UNIVERSAL SYMBOL OF TRUST, BRINGING CONSUMERS AND BUSINESSES TOGETHER THROUGH REVIEWS. WE ARE WELL ON OUR WAY — BUT THERE’S STILL AN EXCITING JOURNEY AHEAD. JOIN US AT THE HEART OF TRUST.

A core value proposition of Trustpilot is Trust. We work hard to ensure that our platform has genuine content from real people with real experiences. That means eliminating fake reviews and acting on signs of suspicious behavior to protect our platform from fraudulent activity. Our Trust Applied AI team’s mission is to use advanced modeling to safeguard the integrity of online reviews, and we have several cross-functional teams devoted to Trust where Applied AI is integral to achieving our goals.
We are looking for a Data Scientist to join our Trust team. You and your team will work to develop, deploy, and maintain innovative models at scale, alongside a cross-functional team of software developers, product managers, ML engineers, and designers. You will have the opportunity to collaborate widely across the business with our Technology and Product teams. You will also work closely with stakeholders in Legal and Platform Integrity.
To succeed in this role, you should have proven experience in developing and deploying ML models. You need a strong technical foundation and hands-on experience in all stages of data preparation, exploration, and modeling. An adaptable mindset and understanding of the interface between Applied AI and engineering are essential as you will be working in cross-disciplinary teams. Experience with deploying solutions into production is expected, as you will be responsible for implementing end-to-end solutions—from data pre-processing to serving predictions.

ABOUT US

Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve.
Today, we have more than 300 million reviews and 67 million monthly active users across the globe, with 127 billion annual Trustpilot brand impressions, and the numbers keep growing. We have more than 900 employees and we’re headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York.
We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas.
Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go.
Join us at the heart of trust

• Be hands-on in delivering the Applied AI / Data Science component of key strategic projects in Trust, from building and fine-tuning language models to sequence modeling, anomaly detection, collaborative filtering, user segmentation, etc.
• Develop, maintain, and deploy production-ready ML models, with tooling support from ML engineers
• Engage with both technical and non-technical stakeholders and contribute to the Trust roadmap
• Seize the chance to meaningfully influence our business through the latest advancements in Applied AI and keep Trustpilot on the edge of innovation when it comes to fake review detection
• The opportunity to work with market-standard data engineering and deployment technologies including Google Vertex AI tools, Google BigQuery, and AWS, and with leading Data Science tools and emerging technologies for model building and deployment
• Opportunities to develop your career in a friendly, diverse, international team and workplace