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Staff Data Scientist - Product Analytics

1 hour, 31 minutes ago
Saudi Arabia
Full-time
Lead
Data Scientist
Data Science and Analytics
ClickHouse dbt GCP Looker Metabase Pandas Python SciPy SQL
Apply Now
Salla E-Commerce Platform

Salla E-Commerce Platform

Salla E-Commerce Platform (salla.sa) offers smart and easy e-commerce solutions for merchants, enabling direct selling to customers with ease.

Internet Software & Services
251-1K
Founded 2016
$8M raised
View All Jobs 4

Description

  • Define and enforce event instrumentation standards and tracking plans across web, mobile, and backend systems.
  • Own and maintain core product funnel definitions, including merchant onboarding, checkout, and subscription conversion.
  • Build and operationalise the experimentation framework, including experiment design guidance, statistical methodology, SRM checks, power analysis, and MDE calibration.
  • Ensure experiment results are trustworthy and reproducible, with clear communication of confidence levels, practical significance, and trade-offs.
  • Partner with Product Managers and Engineers to embed measurement throughout the product development lifecycle from PRD to post-launch review.
  • Conduct deep-dive product analyses on retention drivers, feature adoption, and user segmentation to inform the product roadmap.
  • Collaborate with the Data Platform team on data quality, pipeline reliability, and self-serve analytics tooling.
  • Mentor product analysts and help build a culture of analytical rigour, intellectual honesty, and curiosity.

Requirements

  • 7+ years of experience in product analytics, data science, or applied statistics at a technology company.
  • Deep hands-on experience designing, running, and analysing A/B tests at scale.
  • Familiarity with common experimentation pitfalls such as SRM, peeking, metric sensitivity, and novelty effects.
  • Strong understanding of event-tracking architectures and instrumentation best practices, including event taxonomies, naming conventions, and schema governance.
  • Expert-level SQL and Python, including experience with pandas, scipy, statsmodels, or equivalent.
  • Solid statistical foundation in hypothesis testing, confidence intervals, power analysis, multiple comparisons, and causal reasoning.
  • Experience defining and maintaining product health metrics, guardrail metrics, and north-star metrics.
  • Proven ability to synthesise experiment results and product data into strategic narratives for product and engineering leadership.
  • Excellent communication skills with a track record of influencing product decisions through data.
  • Proficiency in Arabic is a plus.
  • Based in Saudi Arabia, preferably Jeddah or Makkah, is a plus.
  • Experience in e-commerce, marketplace, or SaaS product analytics is preferred.
  • Familiarity with experimentation platforms such as Eppo, Statsig, LaunchDarkly, Optimizely, or internal tooling is preferred.
  • Experience with BI tools such as Looker or Metabase, and modern data stacks such as dbt, ClickHouse, or BigQuery is preferred.
  • Knowledge of Bayesian methods, sequential testing, or multi-armed bandit approaches is preferred.
  • Experience working in the GCC is preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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