Senior Data Scientist

vor 1 Tag


City of Melbourne, Österreich Culture Amp Vollzeit

Senior Data Scientist Join to apply for the Senior Data Scientist role at Culture Amp . Culture Amp is the world’s leading employee experience platform, revolutionizing how 25 million employees across more than 6,500 companies create a better world of work. Powered by people science and the most comprehensive employee dataset in the world, our platform is trusted by leading companies such as Canva, On, Asana, Dolby, McDonald’s, and Nasdaq. Culture Amp is backed by top venture capital funds and has offices in the US, UK, Germany, and Australia. About the Role The Data Products team is building the future of workforce insights. This role focuses on two core areas: (1) improving the richness and reliability of workforce data (hierarchy, tenure, demographics) and (2) discovering actionable insights that help leaders and managers drive engagement, retention, and performance. You will work alongside data scientists, engineers, and analysts, and will partner with engineers to productionise models that feed into Coach, our AI assistant. What you’ll do Lead discovery work to uncover meaningful patterns in workforce data that predict engagement, retention, and performance outcomes. Build and validate statistical models and ML approaches to surface actionable insights. Improve data quality and standardisation for workforce attributes like hierarchy, tenure, and demographics. Partner with engineers to productionise insights, including integration with Coach. Contribute to our engagement benchmarks by improving methodology, adding new cuts, and ensuring data quality. Help shape the long‑term insights roadmap based on what you learn. What we're looking for 4–6 years of experience in data science or a related quantitative role. Strong foundation in statistics and classical ML, with the judgment to pick the right tool for the problem. Solid data modelling instincts: ability to structure and clean messy workforce data. Expertise in Python and SQL, focused on writing clean, reusable code for end‑to‑end data science solutions. Experience taking models from exploration to production, even when assisted by engineers. Clear thinking and communication: explain findings and their business impact to product and business stakeholders. Ability to present data interactively to non‑technical audiences; data visualisation is a bonus. Curiosity about the “so what”: focus on whether correlations you find are truly useful. Bonus: experience with HR/people analytics data, causal inference, working with LLMs (RAG, prompting, evaluation), or building insights products. Benefits Employee Share Options Program. Coaching, budgets, and programs to help you thrive personally and professionally. Access to external providers for mental wellbeing and coaching support. Monthly Camper Life Allowance to enhance your life outside work. Team budgets for team‑building activities. Quarterly wellbeing pauses – company‑wide shutdown days. Extended year‑end breaks. Excellent parental leave and work‑support programme from day 1. Five social impact days a year. MacBooks and a work‑from‑home office budget. Medical insurance coverage for you and your family (US & UK). EEO Statement & Diversity Culture Amp is an equal‑opportunity employer that values diversity, equity, and inclusion. We are committed to creating a better world of work for all. We strongly encourage diversity and inclusion in our hiring and workplace culture. #J-18808-Ljbffr


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