[961] Data Scientist
Salary: $2000 - $3000 - Location: Remotely - Full-time
Description
- Primarily be a self-managing individual contributor. Research and develop new cutting-edge AI algorithms using techniques such as supervised/unsupervised ML, statistical/Bayesian inference etc. to power the AI & Analytics Engine with better, smarter, and more diverse recommendations for the end users;
- Bring your novel ideas to a production-ready state by implementing them as modules, while adhering to industry standards in coding: quality, maintainability, and in conformance with the overall architecture are of paramount importance;
- Participate in product-steering sessions in your technical capacity to:
- Pitch new ideas to improve the product;
- Respond to user feedback and business requirements by providing the necessary technical directions from a Data Scientist’s perspective, to put items on the product roadmap;
- Mentor and provide training to graduate-level associate data scientists and interns, motivating them to reach the next level;
- Participate in the delivery of our product to customers and other customer facing activities;
- Participate in technical content writing. This may be in the form of product documentation, blog articles highlighting new features and use cases, as and when the need arises;
- Understand and advocate our long-term vision while working with the management and product teams to define and adapt the same; and
- Contribute to the evangelization of our product and our culture internally and externally.
Requirement
Fluency in English both written and spoken
Have expert understanding and more than 3 years of proven R&D experience in at least one ML/AI professional field below:
- DL framework for modern NLP/NLU
- Extend supervised and unsupervised ML algorithms to big data scale;
- Hyperparameter search and model selection (Bayesian optimization)
- PU / Active learning;
- Time series analysis (classification, prediction and survival analysis)
- GPU acceleration of ML/DL;
- Explainable artificial intelligence;
- The application of graph models in artificial intelligence, such as Bayesian networks, Markov random fields, etc.
How to Apply
Please send your profile to nhiha@jobseeker.vn or ping me via skype hahoainhi.
Thank you!