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​Discover the Opportunity

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.

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

Discover the Responsibilities

• 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.

Discover the 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.

Discover the Desired

• 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

Apply Now!