Staff Data Scientist - Business Analytics

3 weeks, 1 day ago
Full-time
Lead
Data Science and Analytics
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

Description

  • Design and maintain forecasting frameworks for revenue, GMV, merchant growth, and other core business drivers.
  • Lead opportunity sizing for new products, pricing changes, market expansions, and strategic initiatives.
  • Build causal impact measurement capabilities to quantify the true ROI of business investments.
  • Develop a repeatable measurement playbook for incrementality, attribution, and counterfactual reasoning.
  • Create merchant and customer segmentation and scoring models to support prioritisation across teams.
  • Define decision-grade metrics and KPIs with Finance, Commercial, and Product leadership.
  • Translate complex analytical findings into clear, actionable narratives for senior stakeholders.
  • Mentor analysts and data scientists on statistical methods, causal inference, and analytical rigor.

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.
  • Expert-level SQL and Python, including 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, guardrail, 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 working in Arabic.
  • Based in Saudi Arabia, preferably Jeddah or Makkah.
  • Experience in e-commerce, marketplace, or SaaS product analytics.
  • Familiarity with experimentation platforms such as Eppo, Statsig, LaunchDarkly, Optimizely, or internal tooling.
  • Experience with BI tools such as Looker or Metabase and modern data stacks such as dbt, ClickHouse, or BigQuery.
  • Knowledge of Bayesian methods, sequential testing, or multi-armed bandit approaches.
  • Experience working in the GCC.

Interested in this position?

Apply directly on the company website

Apply Now

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