Data Scientist at TymeX

Ho Chi Minh City, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Predictive Modeling, Statistical Analysis, Data Mining, SQL, Python, R, SAS, Behavioral Analytics, Data Visualization, Consumer Insights, Collaboration, Strategic Thinking, Communication, Problem Solving

Industry

Software Development

Description

About the Role: We're looking for a Data Scientist to join our Insights & Personalization pod, a team focused on transforming raw financial data into intelligent, adaptive experiences that help customers understand their money and make better financial decisions. This role is perfect for someone who sees data not just as numbers, but as patterns of human behavior that can unlock meaningful insights. You'll work on foundational intelligence systems, from transaction enrichment and pattern recognition to predictive modeling and behavioral analytics, that power personalized financial experiences across our platform. The insights and models you develop will directly shape what customers see and experience in their daily financial lives. You'll be deeply involved in AI/ML solutions, collaborating closely with engineering teams to turn data insights into production systems. Operating within the Tyme Group's multi-market environment, you'll build data systems that get smarter over time, creating compounding value through network effects and continuous learning loops that scale across geographies. What you'll do: As a Data Scientist, you'll work across the full data science lifecycle, from exploration and modeling to production deployment and continuous optimization, turning raw financial data into actionable intelligence that drives customer experiences. You will: Collect, structure, clean, and analyze large datasets using the latest statistical tools and techniques, understanding the human and financial behaviors the data represents. Develop statistical models and algorithms to predict trends, behaviors, and patterns in customer financial data. Build machine learning models for various use cases across the organization to predict customer behavior, identify opportunities, and drive business outcomes. Develop and implement creative ways of displaying and disseminating insights, bringing the consumer and data to life in a manner that engages all stakeholders. Use research and insight to drive cultural change within the organization, ensuring stakeholders put consumers at the heart of their planning and strategic thinking. Deliver ad hoc consumer insight projects that inform decision making for management and collaborate with internal teams to identify business problems and provide data-driven solutions. Interpret and analyze data from multiple sources, providing key analytics and proactively recommending actionable next steps across various stakeholders and teams. Think strategically and communicate creatively to inform and drive stakeholder decision making. Effectively use business data from multiple sources to craft compelling stories that guide activities and decisions. What you'll bring: Experience: 4+ years of experience in analytical and data-driven environments. Demonstrated experience driving results and coordinating activities to solve problems across multi-functional/diverse teams, leading with high energy and a positive attitude. Technical Skills: Bachelor's or Master's degree in a modeling-oriented discipline including but not limited to Psychometrics, Statistics, Mathematics, Physics, Chemistry, Biology, Econometrics, Engineering, etc. Strong hands-on knowledge of data mining and predictive modeling tools such as SQL, R, SAS, Python, etc. Proficient with machine learning techniques and algorithms. Strong analytical and data skills with sound judgment in addressing commercial challenges. Mindset: Strong relationship building skills and an entrepreneurial approach that leverages further opportunities. Excellent English communication skills, both written and oral. Ability to think strategically while communicating insights creatively to inform stakeholder decisions. Why you'll love working here: Opportunity to build intelligent systems that directly impact how millions of customers understand and manage their money. Work on foundational data science challenges in financial services, from transaction intelligence to behavioral pattern recognition. Join a team where data science drives product strategy and customer experiences, not just reports. Collaborate across a global technology organization with shared ownership and impact. Continuous learning environment working with cutting-edge ML/AI techniques applied to real-world financial behavior.

Responsibilities

As a Data Scientist, you'll work across the full data science lifecycle, from exploration and modeling to production deployment and continuous optimization. You'll collect, structure, clean, and analyze large datasets to develop statistical models and algorithms that predict trends and behaviors in customer financial data.