8 дней назад
Senior Data Scientist: Global Data Analytics - Internal Audit Innovation & Enablement
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist: Global Data Analytics - Internal Audit Innovation & Enablement (Data Science and Internal Audit Analytics): Building scalable data products, analytical tests, data warehouses, ETL pipelines, and dashboards for continuous auditing across product and technology domains with an accent on risk detection, data quality, and auditability. Focus on translating audit objectives into analytical models, identifying anomalies and systemic risks, automating recurring control testing, and enabling self-service analytics for audit teams.
Location: Singapore
Company
develops global content, social, creative, and technology products including TikTok, Lemon8, CapCut, and Pico.
What you will do
- Partner with Internal Audit teams to design data-driven testing strategies across e-commerce, advertising, trust and safety, platform integrity, payments, infrastructure, and security.
- Translate audit objectives, risk hypotheses, and control designs into scalable analytical tests, metrics, and models.
- Develop complex queries, analytical logic, data quality checks, reconciliation logic, ETL pipelines, data marts, reusable analytics frameworks, and dashboards.
- Analyze user behavior, monetization flows, content and transaction lifecycles, and system events to identify anomalies, trends, control breakdowns, and emerging risks.
- Build data inventories and lineage documentation, assess data ownership and reliability, and support repeatable, defensible audit analytics.
- Enable continuous auditing and self-service analytics by automating recurring procedures, standardizing datasets, and training audit team members.
Requirements
- Bachelor’s degree or higher in mathematics, statistics, computer science, financial engineering, operations research, economics, or a related quantitative discipline.
- Strong SQL skills and proficiency in Python or R.
- Extensive hands-on experience in data analytics, data science, analytics engineering, or data engineering.
- Experience building data products for product, business, marketing, risk, compliance, or continuous audit analytics.
- Understanding of ETL, data integration, large-scale data processing, cloud data infrastructure, data warehousing, and dimensional modeling.
- Ability to translate ambiguous business or risk questions into structured analytical approaches and communicate findings to technical and non-technical stakeholders.
Nice to have
- Knowledge of Hadoop, Flink, or MapReduce.
- Experience with decentralized or federated data environments and multiple data owners.
- Strong business acumen, stakeholder management, presentation, and data storytelling skills.
Culture & Benefits
- Work within a global Internal Audit function supporting multiple business verticals and regions.
- Collaborate with data partners, product teams, operational stakeholders, and senior leadership.
- Contribute to an inclusive workplace that values diverse skills, experiences, and perspectives.
- Develop expertise in data analytics, machine learning, AI, and products through continuous education.
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