Senior Data Scientist – Metrics & Analytics

This is a fully remote position, open to applicants in Saudi Arabia.

📋 Description

• Take charge of the analytics strategy for the Data Platform — establish the vision, standards, and roadmap for metrics, models, and reporting provided through the platform layer.

• Integrate data models across product domains — collaborate with the Platform Reports PM and all PMs to merge fragmented metric definitions into a single, governed semantic layer.

• Propel merchant analytics success — design, validate, and continuously enhance the reports and analytics that every merchant depends on to analyze and grow their business.

• Set documentation standards — ensure that every API, dataset, metric, and column is aptly named, clearly defined, and formally documented, maintaining consistency from the warehouse to the merchant-facing report.

• Facilitate growth analysis — construct the analytical foundations (cohorts, funnels, growth metrics, benchmarks) that enable merchants and internal teams to study growth accurately.

• Safeguard data quality and consistency — establish validation rules, reconciliation checks, and metric governance to ensure numbers are consistent across all appearances.

• Collaborate cross-functionally — serve as the analytical authority for the platform layer, providing guidance to engineering, product, and other analytics teams on proper development practices.

⛳️ Requirements

• Over 5 years of experience in data science or analytics engineering, with a minimum of 2 years in a senior or ownership-level position.

• Demonstrated experience in constructing or governing metric layers / semantic models (e.g., dbt, LookML, or equivalent) utilized by multiple teams.

• Proficient in SQL and Python; highly comfortable working directly with warehouse-level data (BigQuery, Clickhouse, Redshift, or similar).

• Experience in designing customer- or merchant-facing analytics products — dashboards, embedded reports, or analytics APIs.

• A strong inclination for naming, documentation, and standards — you understand that a well-named column and a well-articulated definition are essential product features.

• Experience collaborating with product managers to convert business inquiries into governed, reusable data models.

• Outstanding communication skills; capable of aligning multiple teams around a unified source of truth.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements and a supportive work environment.