Role overview

Qualifications

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

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
Collaborate with engineers to develop ML projects and maintain high system availability and reliability

Key facts

Remote from: Thailand
Full time
Senior (5-10 years)
Data Scientist
English

Hard skills

Python (Programming Language) Statistical Modeling SQL (Programming Language) Machine Learning Data Mining Data Cleansing Data Engineering Data Visualization Natural Language Processing (NLP) TensorFlow Scikit-Learn (Python Package)

Other skills

Communication

About the company

KateWorthington

Staffing & Recruiting

With over 15 years of experience in the recruitment industry, Kate Worthington has served a diverse range of companies including public listed corporates, start-ups, and non-profit organizations. The goal is to connect the dots between corporations and the scarcity of talented professionals in specific markets.As a recruitment company that values data and insights, Kate Worthington aims to consistently bring together clients and candidates to help them realize their aspirations. With a passionate, motivated, and adaptive approach, Kate Worthington has established itself as a remarkable recruitment company in this evolving industry.

Company details

Company typeSmall startup

IndustryStaffing & Recruiting

Company size2 - 10

Links

Website LinkedIn See all jobs

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Job description

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.