JOB DESCRIPTION
You will be responsible for building and deploying Machine Learning models focused on customer retention prediction and personalized product recommendation for Hasakis eCommerce platform. This role has a direct impact on reducing churn, increasing customer lifetime value (LTV), and enhancing the overall shopping experience.
KEY RESPONSIBILITIES
- Develop churn prediction models and identify high-risk customer segments.
- Build personalized product recommendation systems based on user behavior, purchase history, and contextual signals.
- Collaborate with CDP & Marketing teams to design retention campaigns powered by predictive insights.
- Design and run A/B tests to evaluate model effectiveness (retention uplift, CTR, conversion rate).
- Ensure models deliver measurable business value (e.g., churn reduction, LTV growth, repeat purchase uplift).
- Work closely with Product, BI, and CDP teams to translate insights into actionable strategies.
REQUIREMENTS
- 3 - 5 years of experience in Data Science; eCommerce or CDP experience is preferred;
- Proficiency in Python (Pandas, scikit-learn; TensorFlow/ PyTorch is a plus);
- Strong knowledge of: Customer retention modeling and churn prediction, Recommendation systems (Collaborative Filtering, Content-based, Hybrid), Clustering, segmentation, and uplift modeling;
- Hands-on experience deploying models into production and monitoring real-world performance;
- Strong analytical and statistical skills, including A/B test design and evaluation;
BENEFITS
- Salary range: Open to negotiate;
- 13th-month salary, annual salary review;
- Insurance will be paid according to company policy;
- Working devices provided, parking fee allowance (if any);
WORKING PLACE: 568 Luy Ban Bich St., Tan Phu Ward, Ho Chi Minh City
If you need any further information, contact me via Telegram (callmeEvelynnn) or shoot me your CV at [Confidential Information] to apply.
***Please note that only shortlisted candidates will be contacted. Thanks for your concern. ^^