数据科学家 - 远程
Data Scientist - Remote
职位描述：
我们正在寻找一位经验丰富的数据科学家加入一家沙特金融科技公司。该职位涉及构建和维护数据管道，设计和管理数据仓库（DWH），并开发报告和仪表板以支持业务决策。理想的候选人具备数据建模、机器学习和分析的经验，确保洞察力可操作并与业务目标一致。
主要职责：
1. 数据管理与工程
• 设计、构建和维护用于收集、处理和存储结构化和非结构化数据的ETL/ELT数据管道。
• 开发和管理数据仓库（DWH）架构，确保可扩展性和效率。
• 整合并优化来自多个来源的数据，包括数据库、API、第三方工具和业务应用。
• 确保所有系统中的数据完整性、一致性和安全性。
2. 商业智能与报告
• 与业务团队合作，了解数据需求，并为关键绩效指标（KPI）开发仪表板和报告。
• 使用SQL、Python、R或BI工具（Tableau、Power BI、Looker等）有效分析和可视化数据。
• 提供可操作的见解，以推动业务策略、优化运营并改善客户体验。
3. 数据科学与高级分析
• 应用机器学习和统计建模来发现趋势、预测结果并推动战略决策。
• 实施A/B测试框架和实验以衡量业务影响。
• 优化算法用于欺诈检测、客户细分、需求预测和运营效率。
4. 跨职能协作
• 与工程师紧密合作，优化数据基础设施和管道。
• 与业务利益相关者合作，定义数据驱动的策略和目标。
• 在技术和非技术团队之间起到桥梁作用，确保分析解决方案符合业务需求。
职位要求
- 数据科学、计算机科学、数学、统计学或相关领域的学士或硕士学位。
- 5年以上数据科学、分析或相关领域的工作经验。
- 熟练掌握SQL，并有使用关系型和非关系型数据库的经验。
- 精通Python（Pandas、NumPy、Scikit-Learn等）或R用于数据分析和机器学习。
- 具备ETL管道、数据处理和数据仓库的实际经验（如Snowflake、Redshift、BigQuery）。
- 了解云平台（OCI、GCP、AWS等）。
查看英文原文
About the Role:
We seek a skilled Data Scientist to join a Saudi Fintech. This role involves building and maintaining data pipelines, designing and managing data warehouses (DWH), and developing reports and dashboards to drive business decisions. The ideal candidate has experience with data modeling, machine learning, and analytics, ensuring that insights are actionable and aligned with business goals.
Key Responsibilities:
1. Data Management & Engineering
• Design, build, and maintain ETL/ELT data pipelines for collecting, processing, and storing structured and unstructured data.
• Develop and manage the data warehouse (DWH) architecture to ensure scalability and efficiency.
• Integrate and optimize data from multiple sources, including databases, APIs, third-party tools, and business applications.
• Ensure data integrity, consistency, and security across all systems.
2. Business Intelligence & Reporting
• Collaborate with business teams to understand data needs and develop dashboards and reports for key performance indicators (KPIs).
• Use SQL, Python, R, or BI tools (Tableau, Power BI, Looker, etc.) to analyze and visualize data effectively.
• Provide actionable insights to drive business strategies, optimize operations, and improve customer experiences.
3. Data Science & Advanced Analytics
• Apply machine learning and statistical modeling to uncover trends, predict outcomes, and drive strategic decisions.
• Implement A/B testing frameworks and experiments to measure business impact.
• Optimize algorithms for fraud detection, customer segmentation, demand forecasting, and operational efficiency.
4. Cross-functional Collaboration
• Work closely with engineers to optimize data infrastructure and pipelines.
• Partner with business stakeholders to define data-driven strategies and objectives.
• Act as a bridge between technical and non-technical teams, ensuring that analytics solutions align with business needs.
Role Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
- 5+ years of experience in data science, analytics, or related fields.
- Strong SQL skills and experience working with relational and NoSQL databases.
- Proficiency in Python (Pandas, NumPy, Scikit-Learn, etc.) or R for data analysis and machine learning.
- Hands-on experience with ETL pipelines, data processing, and data warehousing (e.g., Snowflake, Redshift, BigQuery).
- Knowledge of cloud platforms (OCI, GCP, Azure) and experience with data tools like Airflow, DBT, Spark, or Kafka.
- Experience with BI tools (Power BI, Tableau, Looker, Metabase, etc.) for data visualization and reporting.
- Strong understanding of statistics, machine learning algorithms, and predictive modeling.
- Experience in Fin-Tech, banking, or finance is a Plus.
- Familiarity with big data technologies (Hadoop, Spark, Databricks, etc.) is a Plus.
- Knowledge of data governance, compliance, and security best practices is a Plus.
- Experience with real-time analytics and streaming data is a Plus.
Originally posted on Himalayas