Senior Data Scientist - Salla Platforms Metrics & Analytics

Role Overview

Senior Data Scientist - Salla Platforms Metrics & Analytics at Salla. You will own the metrics and analytics layer of a growing e-commerce platform, serving as the driving force behind how merchants understand and grow their businesses through data.

Role Purpose

Ensure every report, metric, and model delivered through the platform is accurate, unified, and built to scale. You will establish the analytical foundation that gives every merchant on the platform a reliable, well-documented view of their growth, working closely with product managers, data quality engineers, and cross-functional partners.

Key Responsibilities

Strategy & Vision

• Own the analytics direction of the Data Platform — define the vision, standards, and roadmap for metrics, models, and reporting delivered through the platform layer.
• Enable growth analysis — build the analytical foundations (cohorts, funnels, growth metrics, benchmarks) that let merchants and internal teams study growth accurately.

Data Governance & Quality

• Unify data models across product areas — work with the Platform Reports PM and all PMs to consolidate fragmented metric definitions into a single, governed semantic layer.
• Establish documentation standards — ensure every API, dataset, metric, and column is correctly named, clearly defined, and formally documented, so definitions are consistent from the warehouse to the merchant-facing report.
• Guard data quality and consistency — define validation rules, reconciliation checks, and metric governance so numbers match everywhere they appear.

Merchant Analytics

• Drive merchant analytics success — design, validate, and continuously improve the reports and analytics every merchant relies on to study and grow their business.

Cross-Functional Collaboration

• Partner cross-functionally — act as the analytical authority for the platform layer, advising engineering, product, and other analytics teams on how to build against it correctly.

Qualifications & Experience

• 5+ years of experience in data science or analytics engineering, with at least 2 years in a senior or ownership-level role.
• Proven experience building or governing metrics layers / semantic models (e.g., dbt, LookML, or equivalent) used by multiple teams.
• Experience designing customer- or merchant-facing analytics products — dashboards, embedded reports, or analytics APIs.
• Experience partnering with product managers to translate business questions into governed, reusable data models.
• Experience in e-commerce or SaaS platforms, especially with merchant/seller analytics (preferred).

Skills & Competencies

• Strong SQL and Python; deep comfort working directly with warehouse-level data (BigQuery, Clickhouse, Redshift, or similar).
• A strong instinct for naming, documentation, and standards — belief that a well-named column and a well-written definition are product features.
• Excellent communication skills; able to align multiple teams around a single source of truth.
• Familiarity with metric stores or semantic layers at scale (Cube, dbt Semantic Layer, Metriql, etc.) (preferred).
• Experience defining API contracts and data documentation practices (data catalogs, OpenAPI specs, column-level lineage) (preferred).
• Statistical modeling or forecasting experience applied to growth analytics (preferred).
• Arabic language proficiency (preferred).