BigPay

Senior Data Scientist

Sep 05, 2023

Kuala Lumpur

What we do, and why we do it

The banking system is evolving to give consumers the transparency, control and financial wellbeing they deserve. In a world where technology can change how we live for the better, there is no reason to be burdened by legacy systems, bureaucracy and mediocrity. It’s time for a change, and you can be part of this revolution!

BigPay is everything you wish your bank was: fair, transparent, frictionless. We went back to the drawing board to explore how new technologies could bring power back to you. Our goal is to solve real world money problems for millions of people by empowering them, and providing a simple interface for users to send, receive and track their money.

Life at BigPay

We’re fast, curious and ambitious. We are on a fearless adventure to change financial services for consumers, and we value ownership, initiative and leadership from everyone in the company. We’re going out of our way to recruit the most intelligent, creative and talented people in the world. We want innovators, and that means maintaining an environment where they can flourish. Our only boss is the consumer. BigPay values highly collaborative, hardworking people, who can deconstruct problems on the fly and take the team with them, while being inventive, iterative and agile. We never want to reach a stage where you are not challenged on a daily basis – because it means we’re not going fast enough.

 Why BigPay?

●  Join a fearless adventure, where your opinion and input is highly contributional

●  Work in a fast paced, growing company where you will be empowered to succeed

●  An environment where you can challenge and be challenged

●  You will be surrounded by a multidisciplinary group of experts

As a Senior Data Scientist at BigPay, you'll play a key role where data is at the heart of our decision-making process. You will lead efforts in refining our finance reconciliation platform, spearhead innovative projects, and collaborate with cross-functional teams to derive insights and shape our product roadmap. This position offers the chance to play an instrumental role in a rapidly scaling fintech platform.

Key Responsibilities:

Continuous enhancement and development of our reconciliation platform to support the finance department.

Oversee and implement advanced data preprocessing, cleaning, and analysis.

Collaborate with cross-functional teams to ensure data integrity, accuracy, and actionable outcomes.

Apply advanced statistical techniques to extract insights from data.L

ead projects that enhance the BigPay and AirAsia ecosystem.

Qualifications:

An applicant is expected to have…

At least a Bachelor's degree in Computer Science, Statistics, Mathematics, or related fields. Master’s degree or Ph.D. preferred.

Minimum of 3 years professional experience in data science or related roles with experience in developing production systems.

Experience writing production code in Python and SQLProficiency with data science libraries such as Pandas, NumPy, and Scikit-Learn.

Proven leadership and teamwork skills with a proactive, problem-solving mindset.

Excellent communication skills with a demonstrated ability to present complex data insights to stakeholders at all levels.

It’s also beneficial to have…

Experience with DBT and Google Cloud Platform (especially BigQuery)

Knowledge of machine learning algorithms, statistical modelling, and data engineering best practices

Understanding of financial reconciliation and financial data management 

Equal Opportunities and Accommodations Statement

BigPay is deeply committed to creating a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, or any other non-merit based or legally protected grounds.

Join 27213+ Machine Learning Engineers, receiving daily job alerts.