Mentimeter is an engagement tool with a clear goal in mind. To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive.

Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments. We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there.

So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together. The Role Are you passionate about leveraging data science to drive business impact and take analytics to the next level? Join Mentimeter as a Data Scientist in our Revenue Analytics team, where you will play a pivotal role in advancing our analytics capabilities for our Enterprise go-to-market Motions.

Data is not only central, but crucial, to how Mentimeter will reach success. At Mentimeter, the Catalyst department is on a mission to realise our company strategy and drive innovation, growth and impact throughout our company by using data, automations and generative AI. In this role you'll work at the intersection of analytics, data science, revenue operations and business to deliver actionable insights and solutions that enable better decisions across the company.

You will collaborate with cross functional teams and company leaders to translate complex business needs into scalable solutions. Your contributions will directly influence key business outcomes such as customer retention, engagement, and revenue growth.

What You’Ll Do

Execute end to end data science initiatives for our Enterprise go-to-market motions, from initial problem framing to the delivery of actionable recommendations. Design and deploy machine learning models, such as predictive scoring, clustering, and forecasting, to solve increasingly sophisticated business challenges. Build and ship internal data products and automated workflows that activate insights in the right tools to drive impact.

Be a key partner to Sales, Marketing, and Customer Success teams to ensure data solutions are relevant, usable, and impactful. Elevate the data science craft by applying best practices in maintainable code, rigorous testing, and collaborative code reviews. Translate complex data analyses into compelling narratives and visualizations that resonate with diverse audiences and drive action.

We believe you have A minimum of 5+ years of relevant experience in data science, analytics, machine learning, or a closely related field. Proven expertise in Python and SQL, with a track record of applying advanced methodologies to real world business problems. Practical experience with statistical analysis, classification, and predictive modeling techniques.

Experience using AI tools (such as Cursor or Claude) to enhance productivity and quality. A builder mindset with curiosity and interest to use the latest technologies to build internal products and systems that scale. Strong business acumen with a deep interest in sales, marketing, and revenue operations analytics.

Solid software engineering practices, including git, versioning, and writing performant, maintainable code. Exceptional communication skills, with the ability to convey complex concepts through clear narratives and actionable insights. Experience collaborating with data engineers on data pipelines, model deployment, and monitoring.

The ability to work independently and navigate unfamiliar challenges by seeking appropriate input and prioritizing effectively.

Nice To Have

g. g. AWS, Google Cloud).

Experience with cloud platforms such as AWS or Google Cloud. Experience working within a SaaS environment, especially with enterprise sales, customer lifecycle, product usage, or customer retention.