You will have opportunities to collaborate with and be advised by experienced Data Scientists from Silicon Valley, with decades of experience in big data, AI and machine learning.


Responsibilities and Duties

As a member of Data Science team, you will be tasked with delivering end-to-end data science solutions to improve and optimize Clingme customer stratification and recommendation engines and collaborating with the broader Product and Business teams to create compelling experiences for Clingme customers and merchants. You will have opportunities to collaborate with and be advised by experienced Data Scientists from the US, with decades of experience in big data, AI and machine learning.


Examples of your tasks include, but not limited to,


  • Analyzing and mining large-scale structured and unstructured data sources to find key insights,

  • Using probabilistic matching and graph theory to establish relationship structures between customers, merchants, services,

  • Using unsupervised and supervised machine learning to classify customers

  • Building reliable, high-performance state-of-the-art production-quality machine learning solutions to be integrated with Clingme app

  • Using Natural Language Processing to understand unstructured text collected by Clingme

  • Applying anomaly detection techniques to identify frauds and abusive patterns



Qualifications and Skills

Technical requirements:

  • 2+ years of experience in advanced analytics, model building/validation, statistical modeling, optimization, and machine learning algorithms including supervised and unsupervised learning, boosting and ensemble methods

  • Familiarity with A/B testing of data science features for mobile apps a strong plus

  • Familiarity with one or more machine learning packages (e.g. scikit-learn, Caffe, Theano, Pylearn2, DeepPy, TensorFlow, Keras, H2O)

  • Experience with state-of-the-art machine learning techniques (e.g. deep learning, gradient boosted trees, random forest)

  • Familiarity with Python (preferred) or other programming languages like Java, R, Julia, C++, Scala

  • Knowledge of RDBMS, Hadoop, Spark, Graph Databases (e.g. Neo4j) and NoSQL products a strong plus


Educational requirements and work experience:

  • MS or PhD in Computer Science, Statistics, Mathematics, Engineering or equivalent (also considering BS degrees with substantial working experience)

  • Well versed in machine learning, data mining, applied statistics

  • Experience in solving problems using data science and building practical solutions

  • Experience in working with Data Engineers, Product Manager to build end-to-end machine learning pipeline for large-scale consumer app is a strong plus

  • Ability to quickly prototype ideas and solve complex problems by adapting creative approaches.

  • Strong analytical skills and data-driven decision making

  • Strong thought leadership with quick grasp on how data and insights can be turned into valuable features

  • Strong interpersonal, communication, and collaborations skills to partner with others

  • Quick to adapt to emerging challenges and execute under ambiguity

  • Hands-on industrial experience with big data processing

  • Enjoying learning new machine learning techniques and finding useful signals in structured and unstructured data


About Clingme

Gigatum is transforming consumer experiences in Vietnam by bringing together state-of-the-art mobile app design, social-networking, big data and Artificial Intelligence (AI) to create intuitive and personalized shopping experience for consumers and improve revenue generation for merchants. We enable friendly and easy ways to connect millions of consumers and local merchants. In the center of our ecosystem is Clingme – Đi gần Chọn đúng, a mobile application with multiple features designed to improve consumer experience, including cash back, local search, product recommendation and review.

We are celebrating our 4rd birthday with 3 rounds of funding; the latest is series A with 2.5 million USD investment. We have signed up world-class investors who are also our priceless advisors. We are a team of mobile product specialists; big data experts and football enthusiasts, passionate about building mobile products that make life more enjoyable.

The Data Science and Engineering team of Gigatum is dedicated to help Clingme users to find and ultimately purchase the right products and services. We are tasked with tackling one of the most complex problems of e-commerce: bringing up the right products for the right consumer at the right time in milliseconds. We are looking for an experienced Data Engineer/Architecture to join our team to build analytics and machine learning infrastructure that supports e-commerce application of millions of consumers every day.



 

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Head Office

  •   8 Unit 8 Floor TNR Building,
  •         54A Nguyen Chi Thanh,
  •         Dong Da, Ha Noi

Branch

  •   5B Floor, GB Building,
  •         78-80 Cach Mang Thang 8,
  •         W.6, D.3, Ho Chi Minh City

 

  •   093 461 0125
  • ceo@gigatum.com
  • clingme.vn