Role overview
What we get paid at work has a massive impact on our lives, and it’s one of the biggest factors in hiring and retaining talent - and yet so many companies struggle to get it right. They simply have no choice but to rely on poor data and unsophisticated tools for their pay decisions. That’s why we created Ravio.
We help many of the world’s most innovative and ambitious companies build stronger teams and reach their goals through better compensation. Our real-time data platform brings compensation into the modern age with clarity and transparency.
We’re passionate about ensuring everyone is paid what they deserve, no matter their background or circumstances. We believe that when compensation is done right, everyone wins.
What you'll work on
- Develop domain expertise: Understand the compensation landscape and the factors shaping pay across roles, organisations, and markets.
- Analyze complex datasets: Explore large, real-world datasets to uncover patterns, trends, and actionable insights.
- Build statistical and ML models: Design models that power Ravio’s compensation insights, ensuring accuracy, robustness, and interpretability.
- Own modelling pipelines end-to-end: Build, deploy, and maintain scalable pipelines as data and product usage grow.
- Collaborate cross-functionally: Partner with Product, Engineering, and Design to integrate data science capabilities into products.
- Communicate insights clearly: Translate complex findings into actionable recommendations for technical and non-technical audiences.
- Continuously improve: Refine models, methodologies, and data processes over time for better quality and impact.
What we're looking for
- Hold a Masters or PhD in Data Science, Statistics, Machine Learning, Economics, or a related field
- Have strong foundations in statistics, modelling, and machine learning
- Are experienced with messy real-world datasets
- Are proficient in Python and libraries like pandas, numpy, and scikit-learn
- Can build and maintain production-ready modelling pipelines
- Balance technical rigor with practical business impact
- Communicate complex ideas clearly to diverse audiences
- Work independently and collaboratively within a multidisciplinary team
Tags & focus areas
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