Data Scientist – Card Products & Loyalty

Translate complex analytical results into business- friendly insights.
Develop and maintain machine learning models for use cases such as churn prediction, credit scoring, card usage forecasting, cross- sell propensity, and campaign personalization etc.
Collaborate with Product, Marketing, and CRM teams to design and evaluate A/B tests and targeting strategies.
Build data pipelines and monitor model performance post- deployment.
Analyze card transactions, spending patterns, and loyalty behavior to detect trends and risks.
Contribute to model governance, data quality, and responsible AI practices.
Conduct customer segmentation using clustering, RFM, and other statistical methods.

Required Qualifications:

Strong communication and storytelling skills, both written and verbal.
Familiarity with lifecycle management of models in Amazon SageMaker.
Hands- on experience with data warehouses (Snowflake, Redshift, S3) and cloud platforms (AWS preferred).
Good understanding of customer lifecycle, card usage, and financial products.
Strong knowledge of machine learning libraries (e.g., scikit- learn, XGBoost, LightGBM).
Proficient in Python and SQL for data analysis and modeling.
3+ years of experience in Data Science, preferably in Banking, Fintech, or Loyalty.

Nice to Have:

Experience in mentoring junior team members or working within data squads.
Knowledge of attribution modeling, uplift modeling, or time- series forecasting.
Experience integrating models into APIs or CEP platforms like MoEngage.
Familiarity with orchestration and automation tools (e.g., Airflow, MLflow).

What We Offer:

Access to rich datasets across banking and loyalty systems.
Flexible working environment and continuous learning opportunities.
A data- driven culture supported by Product and Engineering teams.
Opportunities to work on impactful, large- scale data initiatives.

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Cập nhật gần nhất lúc: 2025-08-14 20:20:02