高级数据科学家 - Salla平台指标与分析
Senior Data Scientist - Salla Platforms Metrics & Analytics
我们正在寻找一位高级数据科学家，负责不断壮大的电商平台的指标和分析层。您将推动商家通过数据理解并增长业务——确保平台传递的每一份报告、指标和模型都准确、统一，并具备扩展性。
您将与平台报告产品经理、平台数据质量工程师紧密合作，并与所有产品领域的产品经理协作，统一我们的数据模型，建立一个单一且连贯的分析基础。您的核心目标：商家报告和分析的成功——为平台上的每个商家提供可靠且文档完善的增长视图。
您将负责
- 主导数据平台的分析方向——定义平台层提供的指标、模型和报告的愿景、标准和路线图。
- 统一各产品领域的数据模型——与平台报告产品经理及所有产品经理合作，将分散的指标定义整合为一个受控的语义层。
- 推动商家分析的成功——设计、验证并持续改进商家依赖的报告和分析，以研究和促进其业务增长。
- 建立文档标准——确保每个API、数据集、指标和列都命名正确、定义清晰，并正式文档化，使定义从仓库到面向商家的报告保持一致。
- 支持增长分析——构建分析基础（群体、流程、增长指标、基准），让商家和内部团队能够准确研究增长。
- 保障数据质量和一致性——定义验证规则、对账检查和指标治理，确保数值在所有出现的地方保持一致。
- 跨职能协作——作为平台层的分析权威，指导工程、产品和其他分析团队如何正确地构建。
要求
- 5年以上数据科学或分析工程经验，其中至少2年在高级或拥有主导权的岗位。
- 有构建或管理指标层/语义模型的经验（如dbt、LookML或类似工具），且被多个团队使用。
- 精通SQL和Python；熟练直接处理仓库级数据（BigQuery、Clickhouse、Redshift或类似）。
- 有设计面向客户或商家的分析产品经验——仪表盘、嵌入式报告或分析API。
- 有较强的数据分析能力，能够从数据中提炼价值，支持业务决策。
查看英文原文
We're looking for a Senior Data Scientist to own the metrics and analytics layer of a growing e-commerce platform. You will be the driving force behind how merchants understand and grow their businesses through data — ensuring every report, metric, and model delivered through the platform is accurate, unified, and built to scale.
You will work closely with the Platform Reports Product Manager, Platform Data Quality Engineers and partner with PMs across all product areas to unify our data models and establish a single, coherent analytical foundation. Your north star: the success of merchant reports and analytics — giving every merchant on the platform a reliable, well-documented view of their growth.
What You'll Do
- Own the analytics direction of the Data Platform — define the vision, standards, and roadmap for metrics, models, and reporting delivered through the platform layer.
- 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.
- Drive merchant analytics success — design, validate, and continuously improve the reports and analytics every merchant relies on to study and grow their business.
- 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.
- Enable growth analysis — build the analytical foundations (cohorts, funnels, growth metrics, benchmarks) that let merchants and internal teams study growth accurately.
- Guard data quality and consistency — define validation rules, reconciliation checks, and metric governance so numbers match everywhere they appear.
- 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.
Requirements
- 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.
- Strong SQL and Python; deep comfort working directly with warehouse-level data (BigQuery, Clickhouse, Redshift, or similar).
- Experience designing customer- or merchant-facing analytics products — dashboards, embedded reports, or analytics APIs.
- A strong instinct for naming, documentation, and standards — you believe a well-named column and a well-written definition are product features.
- Experience partnering with product managers to translate business questions into governed, reusable data models.
- Excellent communication skills; able to align multiple teams around a single source of truth.
Nice to Have
- Experience in e-commerce or SaaS platforms, especially with merchant/seller analytics.
- Familiarity with metric stores or semantic layers at scale (Cube, dbt Semantic Layer, Metriql, etc.).
- Experience defining API contracts and data documentation practices (data catalogs, OpenAPI specs, column-level lineage).
- Statistical modeling or forecasting experience applied to growth analytics.
- Arabic language proficiency is a plus.
Benefits
Originally posted on Himalayas