Tuyển dụng Kiểm tra với người bán Việc làm it Thành phố Hồ Chí Minh: ZaloPay, Senior Data Scientist VNG Corporation

Việc làm it tuyển dụng nhân viên, chuyên viên làm việc tại Thành phố Hồ Chí Minh cần tuyển gấp ZaloPay, Senior Data Scientist cho VNG Corporation


Mô Tả Công Việc




Were a Fintech product in Viet Nam with young people and full of energy. Our aim is to optimize product across the entire user journey, identify and create new audiences. We are looking for a Senior Data Scientist to join our Data Science Team. You’ll be part of a team that is disrupting the industry with innovative attribution models and building the future analytics platform to be used by many teams (Tech, Promotion,..) for User Behavior, Campaign performance and market insights. You’ll be working on very exciting projects using big data technologies with terabytes of data coming from different source.
Responsibilities:

Work with many teams (PO, Tech, BO) to understand dataflow, cashflow

Identify problems and propose recommendations

Focus on bringing statistical depth, analytical insights, and accurate interpretation of data

Measure system performance and also deeper understand trends by providing insights and recommendations based on large amounts of data from various sources

Design innovative attribution models to implement valuable metrics and better address system enhancement, user behavior

Build and maintain visually appealing and engaging dashboards for stakeholders

Work with Data Engineers to help define the data standards and requirements helping to ensure our systems are running correctly and efficiently.

Involve in the development and evolvement of the data architecture

Support internal training and proper documentation ensuring the successful onboarding of new team members





Xem toàn bộ Mô Tả Công Việc





5+ years relevant work experience with large amounts of data

Education background in machine learning, statistics, math, data science, computer science or other closely related area

Strong machine learning/statistics background with hands-on experience in academia and/or industry, sourcing, cleaning, manipulating and analyzing large volumes of data

Experience with open-source machine learning libraries such as numpy, pandas, scikit-learn, distributed/parallel big data processing architecture (e.g., Hadoop, Spark, MLlib) and deep learning framework (e.g., TensorFlow, Pytorch)

Understand the business domain (FinTech, AdTech knowledge is a plus)

Can plan, prioritize and troubleshoot

Experience with recommendation systems is a plus

Experience with data science models in finance domain or CRM (e.g., credit scoring, CLV, churn, etc) is a plus. 



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