Job Description
Data Scientist - Product & Analytics
Hybrid (US-based)
Salary up to $140,000 base + benefits
Are you a Data Scientist who wants their work to genuinely matter?
We're partnering with a fast-growing, global SaaS business whose products are used by thousands of organisations to improve real-world outcomes at scale. This is a chance to join a highly collaborative Analytics & Insights function where data science directly shapes products, strategy, and decision-making.
In this role, you'll work end-to-end - from building robust data pipelines through to deploying predictive models that drive measurable impact. You'll collaborate closely with Product, Engineering, and domain experts, translating complex problems into scalable, data-driven solutions.
What you'll be doing
- Building and deploying statistical and machine learning models to support forecasting, prediction, and optimisation
- Designing scalable data pipelines using modern tooling to turn complex data into actionable insights
- Running experiments and hypothesis testing to measure product impact and improve outcomes
- Partnering cross-functionally to solve high-value business and customer problems
- Ensuring data quality, reliability, and performance through monitoring and validation
What we're looking for
Commercial experience in Data Science or Applied Analytics (SaaS experience a plus)Strong foundations in statistics and machine learningHands-on experience with Python and SQLExposure to cloud or distributed data environments (AWS, GCP, Azure, Spark, etc.)Someone who enjoys working across teams and seeing their work used in productionWhy apply?
Hybrid working with flexibilitySalary up to $140,000 base plus a strong benefits packageWork on meaningful, real-world problems at scaleHigh visibility role with genuine influence over product and strategyCollaborative, mission-driven culture with strong technical peersIf you're looking for a role where your models don't sit on a shelf - this is worth a conversation.