Staff Data Scientist 📍 Remote

💻 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