# Data Scientist

**Company:** [Kody](https://jobs.workable.com/companies/aDWSRg9smKoHu3GYFnXU9H.md)
**Location:** Hong Kong, Hong Kong
**Workplace:** on site
**Department:** Technology

[Apply for this job](https://jobs.workable.com/view/81c25e78-4a8d-4e4f-9e0b-906fb83b2cb6)

## Description

### **About Kody**

Kody is a fast-growing Fintech dedicated to bringing seamless online payments and financial services to brick-and-mortar businesses across the UK, Europe, and APAC.

### **About the Role**

At Kody, we process high volumes of transaction data daily. We are looking for an intellectually curious, technically seasoned **Data Scientist** to make sense of our complex data and drive high-impact commercial decisions.

You will act as the core quantitative engine for the team—diving into payment success rates, merchant transaction funnels, and revenue metrics. You won't just pull numbers; you will be responsible for understanding the underlying business mechanics, transforming raw, messy data into actionable insights, and building intuitive, scalable dashboards in Google Looker and Power BI.

### **Key Responsibilities**

-   **Deep-Dive Data Analysis & Ownership**: Independently extract, clean, and model high-volume payment transaction and merchant data to uncover operational bottlenecks, drop-offs, and revenue growth levers.
-   **BI Architecture & Dashboarding**: Architect, build, and maintain production-grade semantic models and dashboards in Google Looker (LookML) and Power BI, ensuring metrics are automated, self-serve, and aligned across leadership.
-   **Core Metrics Definition**: Partner closely with Commercial, Operations, and Product executives to establish, standardize, and govern business KPIs across regional markets.
-   **Advanced Data Modeling**: Write robust, production-optimized SQL queries and Python scripts to aggregate complex, petabyte-scale datasets; implement data quality and validation frameworks.
-   **Executive Decision Support**: Deliver fast, data-backed strategic analyses, supporting senior management and C-suite leadership with scenario planning, unit economics, and performance forecasting.

## Requirements

-   **Experience Level**: **Minimum 5+ years of professional, hands-on experience** in data science, advanced business intelligence, or quantitative analytics in a commercial, fast-paced environment. _(Note: This is a senior role requiring proven independent execution)._
-   **Strong Academic Foundation**: Bachelor’s or Master’s degree from a top-tier university in Statistics, Mathematics, Computer Science, Data Science, Quantitative Finance, or a related quantitative discipline.
-   **Advanced SQL Expertise**: Exceptional, expert-level SQL capabilities (complex joins, CTEs, window functions, and database performance optimization) querying large-scale, multi-table production relational and analytical databases.
-   **Production Python / R**: Extensive practical experience using Python (pandas, NumPy) or R for exploratory data analysis, pipeline automation, and statistical modeling.
-   **Enterprise BI & Semantic Modeling**: Proven track record implementing scalable enterprise BI solutions with Google Looker (hands-on **LookML development experience is strongly preferred**) and/or Power BI; demonstrated ability to translate vague business needs into self-serve analytical products.
-   **Senior Business Acumen & Communication**: Proven track record of interfacing directly with senior stakeholders, articulating technical and statistical conclusions into clear business actions.

**Nice to Have**

-   Prior analytics experience in **Fintech, Merchant Acquiring, Payments, E-commerce**, or high-growth tech scale-ups.
-   Hands-on experience with modern cloud data warehouses (**BigQuery, Snowflake**) and transformation frameworks (**dbt**).
-   Familiarity with payment-specific metrics (TPV, take rates, interchange fees, chargeback ratios, authorization rates).

## Benefits

Why Join Us?

-   Highly Competitive Rewards: Market-leading compensation package designed to reward top talent.
-   High-Trust, Collaborative Team: Work alongside driven, supportive peers in an open and united team culture.
-   Direct & Efficient Communication: Direct feedback, quick decision-making, and zero unnecessary red tape.
-   Immense Growth Potential: Be part of a high-growth fintech journey with expansive career upside.