Назад
4 дня назад

Data Scientist (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Страна
China
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Описание вакансии

TL;DR
Data Scientist (Fintech): Analyzing high-volume payment and merchant data, building dashboards and semantic models, and supporting strategic business decisions with an accent on KPI definition, data validation, and forecasting. Focus on optimizing SQL queries, identifying operational bottlenecks and drop-offs, and communicating technical findings to non-technical stakeholders.

Data Scientist

Company

Kody

Conditions

6 days ago

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will analyze high-volume payment and merchant data to identify bottlenecks, drop-offs, and growth opportunities. You will build and maintain dashboards and semantic models, define and monitor business KPIs, validate complex datasets with SQL and Python, and provide analysis and forecasting for strategic business questions.

Requirements

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, Quantitative Finance, or a related quantitative discipline
  • Advanced SQL skills, including complex joins, CTEs, window functions, and query optimization
  • Experience using Python with pandas and NumPy or R for exploratory analysis, data wrangling, and statistical evaluation
  • Hands-on experience with Google Looker, Power BI, or Tableau
  • Ability to identify data discrepancies, understand payment and fintech workflows, and communicate technical findings to non-technical stakeholders

Responsibilities

  • Extract, clean, and analyze payment transaction and merchant data
  • Identify operational bottlenecks, drop-offs, and growth opportunities
  • Design, build, and maintain dashboards and semantic models in Google Looker and Power BI
  • Define, standardize, and monitor business KPIs with Commercial, Operations, and Product teams
  • Write optimized SQL queries and Python scripts to aggregate and validate datasets
  • Deliver data-backed analysis, scenario analysis, and performance forecasts for strategic questions

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