Associate Data Scientist

at  Trustpilot

WE’RE A LEADING ONLINE REVIEWS PLATFORM, FREE AND OPEN TO ALL. OUR MISSION IS TO BE A UNIVERSAL SYMBOL OF TRUST. WE ARE WELL ON OUR WAY — BUT THERE’S STILL AN EXCITING JOURNEY AHEAD OF US. DO YOU WANT TO JOIN US AT THE HEART OF TRUST?

We are looking for several Associate Data Scientists to join our Trust and B2C teams in Copenhagen. You and your team will work within a focus area 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 and also stakeholders in Legal and Platform Integrity.

STILL NOT SURE?

We are Open to All, which means we want everyone to feel like they can see themselves at Trustpilot. We’re keen to hear about your experiences as well as how you can help to create a fantastic culture for our amazing Trusties. So, don’t worry if you’re looking at this job description and feel like you don’t meet all the requirements, we’d still really like to hear from you!

• Be hands-on in delivering the Applied AI / Data Science component of key strategic projects for our Trust and B2C initiatives, 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
• Seize the chance to meaningfully influence our business through the latest advancements in Applied AI
• The opportunity to work with leading data engineering 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
• Work within our Trust, Product, and Commercial areas to build models from data that safeguard trust, support great products, deliver insights, and transform our business processes.