Senior Data Scientist

Hiring Position : Senior Data Scientist Working Condition : On-site Location : Bangkok, Thailand (BTS Accessible) Pay Rate : THB 200000 to THB 250000 __________________________________________________________________________ Our client is an HR tech company based in Bangkok, Thailand that has established itself as a major player in the global HR tech market . With the backing of Surge and Sequoia Capital , our client is well positioned to continue its rapid growth and innovation in the industry. Its cloud-based recruitment platform has been trusted by thousands of businesses in over 130 countries to streamline their hiring processes and find the best talent for their organizations. With a focus on simplicity, efficiency, and customization, our client's platform is a powerful tool for businesses looking to optimize their hiring processes. The platform is designed to be user-friendly and intuitive, allowing businesses to tailor it to their specific needs and preferences. Its innovative technology has earned it a loyal customer base, and its commitment to user satisfaction has helped it build a reputation as a trusted partner for businesses seeking to streamline their recruitment processes. As a testament to its growth, our client is currently seeking a Senior Data Scientist to join their financially-stable team at their headquarters in Bangkok, Thailand. The successful candidate will have the opportunity to work with a dynamic and innovative team to continue developing the company's cutting-edge HR technology and drive growth in the industry. Responsibilities: Set, define, and take ownership of our client's data science roadmap Build, enhance, and maintain Manatal's core features with a focus on: CV/Resume parsing in multiple languages Candidate recommendation engine Candidate social media enrichment Independently manage all parts of a project life cycle, from ad-hoc exploration to production deployment, including preparation of training data and model development Design, prototype, and implement solutions across various domains Assist in defining and implementing a framework for continual innovation Collaborate with engineers to develop ML projects and maintain high system availability and reliability Requirements: BA/BS in Mathematics, Statistics, or Computer Science required; a Master's Degree in a quantitative or scientific discipline is strongly desired - Advanced statistical modeling skills - Advanced skills in SQL querying, data mining, and data cleansing - Excellent knowledge of Python , including common scientific computing packages and data science tools such as NumPy, Pandas, NLP libraries* , Tensorflow , and Scikit-learn - Good knowledge of supervised and unsupervised machine learning algorithms, such as neural networks and decision trees - Advanced knowledge of experiment design - Hands-on experience with cloud infrastructure tools such as AWS EC2, S3, Lambda, and Data Engineering - Advanced visualization/reporting and presentation experience - Version control experience with GitHub - Basic knowledge of web applications and service-oriented architecture - Excellent strategic project planning and communication skills, both written and verbal.