Job Description
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 learning
- Hands-on experience with Python and SQL
- Exposure to cloud or distributed data environments (AWS, GCP, Azure, Spark, etc.)
- Someone who enjoys working across teams and seeing their work used in production
Why apply?
- Hybrid working with flexibility
- Salary up to $140,000 base plus a strong benefits package
- Work on meaningful, real-world problems at scale
- High visibility role with genuine influence over product and strategy
- Collaborative, mission-driven culture with strong technical peers
If you're looking for a role where your models don't sit on a shelf - this is worth a conversation.
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