About the Role

We are looking for a Data Scientist to join our banking project, where you will build and optimize machine learning models that support customer engagement, recommendation, and business growth.

You will work closely with data and business teams to develop production-ready ML solutions, improve model performance, and deliver data-driven insights for large-scale systems.

 

Responsibilities

* Design, develop, and optimize machine learning models for customer propensity prediction and recommendation.
* Build features from customer behavior, interaction data, and business context.
* Develop ranking models to improve CTR, engagement, and conversion.
* Handle cold-start scenarios for new users and new products.
* Improve model performance through feature engineering, model tuning, and bias reduction techniques.
* Evaluate models using metrics such as AUC, CTR, NDCG, MRR, and Precision@K.
* Build scalable data pipelines for training and inference.
* Work with cross-functional teams to deliver production-ready ML solutions.
* Present technical findings and recommendations to business stakeholders.

 

Location: Onsite bank fulltime at Hoan Kiem, Ha Noi

 

Requirements

* 3+ years of experience in Data Science or Machine Learning.
* Strong programming skills in Python.
* Strong SQL skills and experience working with large datasets.
* Hands-on experience building and deploying machine learning models in production.
* Experience with predictive modeling using algorithms such as XGBoost or LightGBM.
* Solid understanding of feature engineering, model evaluation, and model optimization.
* Good understanding of statistics and machine learning fundamentals.
* Strong analytical and problem-solving skills.
* Good communication skills and ability to work with business stakeholders.

_Nice to Have_

* Experience with MLOps or ML model deployment.
* Experience with AWS SageMaker or cloud-based ML platforms.
* Knowledge of A/B Testing and experimentation.
* Experience working with recommendation systems or banking-related data.
* Familiarity with Spark or distributed data processing.

 

Benefits

* Salary based on your performance, level and expectation (upto 50M Gross) with bonus onsite upto 2M/ month
* Review salary 1-2 times/year, with the possibility of an unexpected salary rise based on capacity an infinite number of times per year
* Policy for 13th-Month Salary Bonus and Holiday Bonuses According to Company Regulations.
* Holiday travel mode (package 5-7 million/person), team building,...
* Full participation in social insurance, as well as a yearly health checkup at a reputable hospital.
* Comprehensive visit policy for personnel and relatives: birthday, marriage, childbirth, illness, etc.
* The football club, cycling car, badminton, ... are just a few of the sports and cultural activities available.
* Allowance for classes and training awards: Learning Star of the Month,
* A chance to be the face of the year's study, the royalties...

 

If you are looking for a new Job, please do not hesitate to contact to me via:

* Mail: quoctp@vmogroup.com
* Phone/ Call/ Zalo: 0386710976

Machine Learning

Data

Banking

Support

Growth

Data Science

Amazon

Testing

Algorithm

Data Pipelines

Experimentation

Team Building

Apache Spark

Statistics

Communications

Python

XGBoost

LightGBM

AWS SageMaker

MLOps

SkySpark

Data Scientist (Machine Learning) - Onsite Bank - Offer 50M