Senior Data Scientist at KateWorthington

Hiring Position: Senior Data Scientist
Working Condition: Flexible
Location: Bangkok, Thailand (BTS Accessible)
Pay Rate: THB 200000 to THB 250000

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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.