Senior Data Scientist - Salla Platforms Metrics & Analytics

About the Role

We are seeking a seasoned Senior Data Scientist to spearhead the metrics and analytics infrastructure for our rapidly expanding e-commerce platform. In this pivotal role, you will be responsible for shaping how merchants leverage data to optimize and scale their businesses. Your work will ensure that every report, metric, and analytical model delivered through our platform is not only accurate but also unified and scalable. You will collaborate closely with the Platform Reports Product Manager, Platform Data Quality Engineers, and cross-functional product teams to establish a robust, single source of truth for analytics. Your ultimate objective is to empower every merchant on our platform with reliable, well-documented insights that drive informed decision-making and sustainable growth.

Key Responsibilities

• Define the Analytics Vision: Take ownership of the analytics direction for our Data Platform by establishing a clear vision, setting industry-leading standards, and developing a strategic roadmap for metrics, models, and reporting delivered through the platform layer.
• Unify Data Models: Partner with the Platform Reports Product Manager and product managers across all areas to consolidate fragmented metric definitions into a single, governed semantic layer. This will eliminate inconsistencies and ensure alignment across the platform.
• Drive Merchant Analytics Success: Design, validate, and continuously refine the reports and analytics that merchants rely on to monitor performance, identify trends, and grow their businesses. Focus on delivering actionable insights that translate into tangible outcomes.
• Establish Documentation Standards: Champion best practices for documentation by ensuring every API, dataset, metric, and column is meticulously named, clearly defined, and formally documented. This guarantees consistency from the data warehouse to the merchant-facing report, fostering trust and clarity.
• Enable Growth Analysis: Develop the analytical foundations necessary for merchants and internal teams to study growth effectively. This includes building frameworks for cohorts, funnels, growth metrics, and benchmarks that provide meaningful insights.
• Guard Data Quality and Consistency: Implement robust validation rules, reconciliation checks, and metric governance to ensure that numbers remain accurate and consistent across all platforms and reports.
• Cross-Functional Collaboration: Serve as the analytical authority for the platform layer, advising engineering, product, and analytics teams on best practices for building against it. Foster a culture of data-driven decision-making across the organization.

Qualifications

To excel in this role, you will bring the following experience and skills:

• Proven Experience: Minimum of 5 years in data science or analytics engineering, with at least 2 years in a senior or ownership-level role.
• Metrics Layer Expertise: Demonstrated experience building or governing metrics layers or semantic models (e.g., dbt, LookML, or equivalent) that are utilized by multiple teams.
• Technical Proficiency: Strong proficiency in SQL and Python, with deep experience working directly with warehouse-level data (e.g., BigQuery, ClickHouse, Redshift, or similar platforms).
• Customer-Facing Analytics: Proven track record in designing analytics products for customers or merchants, including dashboards, embedded reports, or analytics APIs.
• Attention to Detail: A keen eye for naming conventions, documentation, and standards. You understand that well-named columns and clear definitions are critical to the usability and reliability of data products.
• Product Partnership: Experience collaborating with product managers to translate complex business questions into governed, reusable data models that drive meaningful insights.
• Communication Skills: Exceptional ability to align multiple teams around a single source of truth, ensuring clarity and consistency in data interpretation and usage.

Preferred Qualifications

While not required, the following experiences and skills are advantageous:

• Industry Experience: Prior experience in e-commerce or SaaS platforms, particularly with merchant or seller analytics.
• Semantic Layer Tools: Familiarity with metric stores or semantic layers at scale (e.g., Cube, dbt Semantic Layer, Metriql).
• API and Documentation: Experience defining API contracts and establishing robust data documentation practices, such as data catalogs or OpenAPI specifications, including column-level lineage.
• Statistical Modeling: Background in statistical modeling or forecasting, particularly as applied to growth analytics.
• Language Proficiency: Fluency in Arabic is a plus.