Data Scientist

Join the Revolution in Vietnamese Fintech!

We're a dynamic fintech startup on a mission to revolutionize how Gen Z and Millennials in Vietnam experience credit, payments and BNPL. Forget clunky processes and outdated apps – we're building a sleek, mobile-first digital credit card and PayLater experience from the ground up. Partnering with a leading bank, we combine stability with cutting-edge tech (think cool SaaS platforms + our own awesome frontend!) to deliver a product that truly understands the digital generation.

Founded by former McKinsey partners and backed by a global VC, we're on the lookout for the next generation of visionaries are not afraid of challenging the status quo. This is your chance to get in on the ground floor, shape a game-changing product, work with the latest tech (including AI!), and make a real impact in one of Southeast Asia's fastest-growing markets (and beyond). If you're ambitious, thrive in a fast-paced startup environment, and want to build something amazing, keep reading!

Role Overview:

• Uncover the stories hidden in our data! You'll analyze complex datasets to generate actionable insights that drive product strategy, marketing effectiveness, and risk management.

• Explore and analyze large datasets related to user behavior, transactions, application data, and marketing campaigns to identify trends, patterns, and opportunities.

• Develop predictive models for key business problems like customer churn, lifetime value (CLV), creditworthiness assessment (in collaboration with Risk), or marketing response.

• Design, execute, and analyze A/B tests and experiments to optimize product features and marketing campaigns.

• Create compelling dashboards and visualizations (using tools like Tableau, Power BI, Looker) to communicate insights effectively to stakeholders across the company.

• Collaborate closely with Product, Marketing, Risk, and Engineering teams to define key metrics and answer critical business questions using data. Utilize AI tools for advanced data analysis, visualization suggestions, or automating insight generation.

Must-Have Skills & Experience:

• Strong background in statistics, mathematics, computer science, economics, or another quantitative field (Bachelor's degree required, Master's preferred).

• Proven experience (2+ years) as a Data Scientist or Data Analyst, working with large datasets and generating business insights.

• Proficiency in SQL and data analysis/modeling using Python or R (including relevant libraries like Pandas, NumPy, scikit-learn).

• Experience with data visualization tools (Tableau, Power BI, Looker, Matplotlib, Seaborn).

• Strong understanding of statistical concepts, experimental design, and predictive modeling techniques.

• Excellent communication skills, with the ability to explain complex findings to non-technical audiences. Familiarity with AI tools for data exploration and analysis.

Good-to-Have Skills & Experience:

• Experience in fintech, consumer finance, or e-commerce.

• Experience with cloud data warehouses

• Familiarity with big data technologies (e.g., Spark).

• Experience building customer segmentation or CLV models.

• Knowledge of causal inference methods.