Staff Data Scientist (Product Analytics)
Remote
We're looking for a Staff Data Scientist (Product Analytics) to come in and own product analytics end-to-end with one of our clients. This is a high-impact role where you'll shape how data is used across the entire product lifecycle — from idea to launch and beyond.
You'll be building a lot from the ground up — setting up event tracking, defining experimentation frameworks, and making sure every product decision is backed by solid, reliable data.
What you'll be doing:
- Define and roll out event tracking standards across web, mobile, and backend
- Own and optimise key product funnels (onboarding, checkout, subscriptions, etc.)
- Build and scale an experimentation framework (A/B testing, guardrails, SRM checks, power analysis, MDE, etc.)
- Turn experiment results into clear, actionable insights
- Partner closely with Product & Engineering to embed measurement into the dev lifecycle
- Deep-dive into product data (retention, adoption, segmentation) to guide roadmap decisions
- Work with Data Platform teams on data quality & tooling
- Mentor analysts and help build a strong data culture
Requirements:
- 7+ years in product analytics / data science / applied stats
- Strong experience running A/B tests at scale (and understanding common pitfalls)
- Deep knowledge of event tracking & instrumentation
- Advanced SQL + Python (pandas, scipy, statsmodels, etc.)
- Solid statistical foundation (hypothesis testing, power analysis, causal thinking)
- Experience defining product metrics (north star, guardrails, health metrics)
- Strong storytelling & stakeholder communication skills
Bonus points:
- If you speak Arabic
- Based in Saudi (Jeddah/Makkah) and experience in the GCC
- Background in e-commerce, marketplaces, or SaaS
- Experience with tools like Eppo, Statsig, LaunchDarkly, Optimizely
- Familiarity with Looker, Metabase, dbt, BigQuery, ClickHouse
- Exposure to Bayesian methods, sequential testing, or bandits
A bit more context:
- You'll be building the experimentation culture from scratch (an amazing opportunity to make your mark)
- This will start as an IC role, with strong potential to grow into leadership/management over time
