Data Scientist
Taipei, Taiwan
Coda Payments
The biggest companies trust Coda Payments to collect payment for mobile and online games, live streaming, video on demand, music streaming, and more.At Coda, we break down barriers between publishers and their audiences by thinking outside of the app. Coda is trusted by 300+ top digital content publishers – including industry giants Activision Blizzard, Bigo, Electronic Arts, Riot Games, and Zynga – to grow revenue, profit margins, and customer engagement in 60+ markets with ease. For publishers, this means less lift, more players and more payers. For players, Coda’s solutions allow them to pay for play their way.
Our winning formula? A laser-focused, pragmatic attitude coupled with an unwavering commitment to excellence. We are customer-centric, creative, and solution-oriented, always delivering to our users the top-tier entertainment content they want at competitive prices.
If you’re ambitious, bold and ready to take your career to the next level, get in touch!
Analytics and Business Intelligence at Coda
As part of our Analytics and BI team, you will work with top-notch Data Scientists and Data Engineers to deliver actionable insights that drive measurable business performance. You will dive deep into datasets encompassing hundreds of millions of transactions processed across 250+ payment channels worldwide, including e-wallets, credit cards, and direct carrier billing. Our gamers and digital content consumers span 60+ countries, giving you a truly global perspective on data analysis.
On top of that, collaborating closely with our Marketing, Product, Risk, Finance, and Business Development teams gives you the opportunity to leverage statistical modelling and machine learning algorithms to uncover complex patterns and insights.
At Coda, we are passionate about helping our team members grow and succeed, and you can expect guidance and support from your managers and peers every step of the way.
As a Data Scientist, you’ll be joining a cross-functional team of other Data Scientists and Data Engineers. You will be focussing on deriving and delivering insights that generate real impact on business performance.
At Coda, you will be working with datasets of hundreds of millions of transactions processed across hundreds of different payment channels, such as e-wallets, credit cards, direct carrier billing and over the counter by gamers and digital content consumers in 50 countries around the world.
You will be working closely with the Marketing, Product, Risk, Finance and Business Development teams to apply statistical modeling and machine learning algorithms to identify patterns from complex datasets with hundreds of millions of records.
We take great pride in developing ambitious careers and your managers and peers will guide and train you through your journey at Coda.
What will you do:
- Utilize statistical modeling and machine learning algorithms to extract patterns and insights from complex datasets consisting of hundreds of millions of records
- Create a variety of ML/Stat models to meet diverse product and marketing requirements, including predicting consumer lifetime value, optimizing pricing, and forecasting user behavior
- Collaborate with data engineers to create and maintain robust data pipelines for efficient data processing
- Implement effective feature engineering strategies to enhance the performance of predictive models
- Analyze and interpret A/B testing results using statistical hypothesis testing
- Create informative dashboards and visualizations to track key business metrics such as LTV, CAC, ROI etc
What we expect from you:
- Strong interpersonal and communication skills with a collaborative, curious and team-oriented mindset
- 1-3 years of industry experience with a degree in Computer Science, Statistics, Physics, Mathematics or Engineering.
- Proficient in Statistics, Statistical Hypothesis Testing, Regression, Tree-based Machine Learning models, as well as Bagging and Boosting techniques
- Proficient in programming languages like Python and SQL. Knowledge of Pyspark will be an added advantage
- Prior experience of A/B testing and experimentation design will be an advantage
Joining the Coda team means diving into a fast-paced, challenging, and exciting world. With Codans spread across over 30 countries around the world, our highly collaborative environment breaks down time zones and cultural barriers, empowering you to chase innovative ideas, contribute to Coda’s growth, and make a lasting impact.
If you have a passion for pushing boundaries, and thrive on continuous improvement through experimentation, we'd love to hear from you!
Our Perks*
WFH Support: Get a monthly allowance to cover your work-from-home expenses and keep you connected.
Wellness Boost: Stay healthy with resources for physical and mental well-being with our flexible benefits and Employee Assistance Program - because you matter!
Customized Benefits: Tailor your benefits with our flexible plan.
Growth Opportunities: Unlock your potential through clear progression paths.
Skill Development: Access training resources to fuel your personal and professional growth.
Volunteer Time Off: Enjoy paid time off to make a difference in the world through volunteering.
Family Care: Take advantage of paid Family Care Leave to bond with your family, while our selected Flexible Benefits also cater to your family's needs.
*Benefits are reviewed and updated on a yearly basis
We are proud to be an equal opportunity employer, embracing the unique qualities of every individual, regardless of gender, race, age, religion, disability, or other local protected classes. Our goal is to foster an inclusive environment where everyone feels welcome and valued.
Due to the large number of exceptional applications we receive, we can only reach out to shortlisted candidates. If you don't hear from us, rest assured there may be another opportunity at Coda that aligns better with your unique abilities. Remember to check our Careers Page for more exciting job openings!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Business Intelligence Computer Science Data analysis Data pipelines Engineering Feature engineering Finance Machine Learning Mathematics ML models Physics Pipelines PySpark Python SQL Statistical modeling Statistics Testing
Perks/benefits: Career development Competitive pay Flex hours Flex vacation Wellness
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