Job Opportunities API

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 advancing the data science craft and leading work that drives measurable business impact across teams?  Join Mentimeter as a  Senior Data Scientist , where you will play a pivotal role in shaping how data science supports our Enterprise go-to-market motions and helps Mentimeter make better strategic decisions. Data is central to how Mentimeter succeeds. At Mentimeter, the Catalyst department is on a mission to realise our company strategy and drive innovation, growth, and impact throughout the company by using data, automations and generative AI. In this role, you will collaborate with cross functional teams, senior stakeholders, and company leaders to identify high impact opportunities and turn them into data science solutions that improve decision making, customer outcomes, and revenue growth. You will join the Revenue Analytics team, working at the intersection of analytics, data science, revenue operations, and business. Your work will not only influence team and functional outcomes, but also contribute to broader cross functional goals across our go-to-market organisation. What you’ll do Lead data science initiatives and workstreams for our Enterprise go-to-market motions, from opportunity discovery and problem framing through to delivery, adoption, and impact measurement. Design, build, and productionise machine learning models and data products such as predictive scoring, clustering, forecasting, segmentation, recommendation, and prioritisation models. Identify and shape high impact opportunities across retention, engagement, revenue growth, sales efficiency, customer lifecycle, and go-to-market performance. Partner with Revenue Operations, Product Analytics, Analytics Engineers as well as senior business stakeholders and company leaders to align priorities and drive impact. Set and evolve data science craft standards, including best practices for modelling, code quality, deployment, monitoring, documentation, automation, and responsible use of AI. Mentor and guide data scientists, analysts, and cross functional partners, helping raise the quality and impact of data science work across the function. Communicate recommendations and complex analyses in a way that influences decisions across different levels of the organisation. We believe you have A minimum of 8+ years of relevant experience in data science, analytics, machine learning, or a closely related field. A proven track record of leading data science projects or workstreams end-to-end, including problem framing, stakeholder alignment, technical delivery, adoption, and impact measurement. Deep expertise in data science methodologies, with strong proficiency in Python, SQL, machine learning, statistics, and applied modelling. Experience using AI tools such as Cursor, Claude, or similar to improve productivity, automation, and delivery quality. Strong business acumen, with the ability to connect data science opportunities to strategic business objectives across sales, marketing, product, revenue operations, customer engagement, retention, or growth. Experience navigating ambiguous or complex business problems, identifying the right analytical approach, and driving alignment across multiple teams. Strong software and