Job Summary
- Technical Skill:
- AI (Artificial Intelligence) ,
- Machine Learning ,
- Python ,
- Statistics ,
- MS SQL ,
- Apache Spark ,
- MS Azure ,
- Apache Kafka ,
- Tableau ,
- AWS ,
- Tensorflow ,
- BI ,
- MS Power BI ,
- GCP ,
- Fintech ,
- scikit-learn ,
- GPT ,
- PyTorch ,
- R ,
- Apache Airflow ,
- Snowflake ,
- Google BigQuery ,
- Data Visualization ,
- XGBoost ,
- LLM ,
- LangChain ,
- DBT
Job description
Overview of job
We are seeking an experienced and visionary Data Science Manager to lead our cross-functional Data Science & AI team. You will be responsible for shaping our data-driven product strategy, building advanced machine learning models, deploying AI Assistants, and enabling real-time analytics and flexible reporting across our key verticals: Digital Banking, eWallet, SmartPOS, Payment Gateway, Insurance, and SME Platforms.
🔹 Leadership & Strategy
- Build, lead, and mentor a high-performing team of data scientists, ML engineers, and data analysts.
- Drive the overall data and AI strategy in alignment with business goals and product roadmaps.
- Collaborate with C-level executives, Product, Engineering, and Business Units.
🔹 Data Platform & Architecture
- Oversee design of scalable, cloud-native data platforms (DWH, Lakehouse, Real-time streaming).
- Ensure strong data governance, MDM, privacy compliance (e.g., GDPR, PDPD).
- Implement flexible analytics & self-service BI tools for internal teams and customers.
🔹 Machine Learning & AI
- Lead development of predictive models for credit scoring, fraud detection, recommendation engines, and personalization.
- Build and deploy AI Assistants for customer service, internal operations, and financial advisory.
- Monitor model performance, fairness, and accuracy at scale.
🔹 Product Domains
- Enable data-driven insights across Digital Banking, SmartPOS, eWallet, and SME platforms.
- Integrate analytics into Payment Gateways, Loan engines, Insurance platforms, and Merchant tools.
- Collaborate in shaping AI-first financial products.
🔹 Reporting & Analytics
- Develop flexible reporting systems (dashboarding, real-time KPIs, drill-downs).
- Drive adoption of tools such as Tableau, PowerBI, Metabase, Looker, or open-source alternatives
WHY YOU JOIN US:
- Working in the fast-moving international Fin-Tech environment.
- Competitive salary with high-tech supports.
- Bonus salary and company activities for each quarter.
- Personal Health Care Package from BaoViet Insurance.
As a member of our team, you will be one of our talent crews, be side by side with others more than 25 professional Software Engineers, Automation Testers and Data Scientist having strong experience in financial solutions, online payment to transform and achieve unexpected achievements in the endless innovation of this Industry 4.0 nowadays. Don't hesitate to find more opportunities at SmartPay since NOW.
Job Requirement
Education
- Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or equivalent.
Experience
- 6+ years of experience in Data Science, with 3+ years in managerial/leadership roles.
- Proven track record in banking, fintech, or payment ecosystems.
- Hands-on experience building and deploying ML models, AI products, and data platforms.
Technical Skills
- Strong command of Python, SQL, Spark, R.
- Proficient with AWS/GCP/Azure and tools like Airflow, Kafka, dbt, Snowflake, BigQuery.
- ML frameworks: scikit-learn, XGBoost, TensorFlow/PyTorch, LangChain (for AI Assistants).
- Data visualization: Tableau, Looker, Power BI, Superset.
Soft Skills
- Excellent communication and leadership abilities.
- Strategic mindset and business acumen in fintech and digital financial services.
- Ability to influence stakeholders at all levels.
Nice-to-Have:
- Experience with LLM, GPT, or multi-agent AI frameworks.
- Experience in risk, underwriting, or credit scoring for digital lending.
- Exposure to RegTech, InsurTech, or cross-border payments
Languages
-
English
Speaking: Intermediate - Reading: Intermediate - Writing: Intermediate
Technical Skill
- AI (Artificial Intelligence)
- Machine Learning
- Python
- Statistics
- MS SQL
- Apache Spark
- MS Azure
- Apache Kafka
- Tableau
- AWS
- Tensorflow
- BI
- MS Power BI
- GCP
- Fintech
- scikit-learn
- GPT
- PyTorch
- R
- Apache Airflow
- Snowflake
- Google BigQuery
- Data Visualization
- XGBoost
- LLM
- LangChain
- DBT
COMPETENCES
- Team Management
- Team Leadership
- Communication Skills
BUSINESS PROFILE
Smart Pay is a startup financial technology company (E-wallet).
We create a dynamic, international and fast paced working environment, with Vietnamese talents play crucial roles in our company.
Our Company Culture represents 5 aspects:
- Win – Win
- Result – oriented
- Self – developed
- Change for better
- Integrity