Data Scientist

hackajob is collaborating with Trustpilot to connect them with exceptional tech professionals for this role. From millions of reviews to rich user interaction data, we have a vast amount of behavioral and content data that powers our consumer platform. In the B2C Applied AI team, we’re focused on leveraging AI and ML to improve how people discover, interact with, and trust businesses on Trustpilot. We are seeking a Data Scientist to join our B2C Applied AI team to build intelligent, data-driven product features that improve user experience and deliver business impact. You will collaborate closely with a cross-functional team of engineers, product managers, designers, data analysts, and ML engineers to develop and maintain impactful AI/ML models at scale. To succeed in this role, you’ll bring hands-on experience developing and deploying machine learning solutions, especially in areas such as ranking, search, recommendations, and personalization. You’ll also demonstrate a strong understanding of user behavior data and how to use it to influence product development. A product mindset and ability to work cross-functionally are essential. What You’ll Be Doing

• Great opportunity to make a real product impact by applying the state of the art in AI and ML.
• Work on some of our most exciting Data Science initiatives aimed at improving the Trustpilot consumer experience: from ranking and recommendations to natural language processing and search.
• Build, deploy, and maintain production-ready ML models that directly power features used by millions of users.
• Collaborate closely with engineers, product managers, and designers to develop user-facing features informed by ML and experimentation.
• Use data and model insights to identify new opportunities for personalization and discovery across our platform.
• Take ownership of specific ML features or components and drive them from concept to production and iteration.
• Work with leading tools such as GCP Vertex AI, BigQuery, Airflow, and emerging ML technologies.
• Be a part of a friendly, diverse, innovative, international team and workplace that encourages learning and growth.

Who You Are

• Experience working in a Data Science or Machine Learning role, ideally on consumer-facing products like search, ranking, recommendations, personalization, or discovery.
• Strong hands-on ability with ML modeling, including semantic search, ranking algorithms, clustering, recommendation systems, and natural language processing (NLP), with a track record of deploying models to production.
• Strong skills in data analysis, statistical modeling, and computational problem-solving; ideally with a background in a quantitative field such as Statistics, Mathematics, Physics, or Computer Science.
• Comfortable working with large-scale data and behavioral/user interaction data, and using it to build impactful, data-driven product features.
• Proficient in Python and SQL, and confident working across the full ML lifecycle from exploration to deployment.
• Experience with cloud platforms like GCP (preferred), AWS, or Azure, and tools such as BigQuery, Vertex AI, and Airflow.
• Familiarity with ML production tooling and infrastructure, including CI/CD workflows.
• Comfortable using metrics to monitor, iterate, and improve model performance.
• Excellent communication skills — able to engage clearly and effectively with both technical teams and business stakeholders.
• Collaborative and agile— experienced in working closely with Product Managers, UX Designers, and Engineers within cross-functional teams to create impactful solutions.
• You take ownership, move quickly, and are driven to solve real user problems with scalable, measurable, and maintainable solutions.