Head Of Data Science

Full time in IT & Software
  • Apply Before : 30/06/2024
  • Salary: ₫0.00 / Monthly
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  • View(s) 98
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Job Detail

  • Job ID 17243
  • Công ty DIGISOURCE'S PARTNER
  • Địa điểm Anywhere

Job Description

Job Description

Do you want to work at a rapid grow AI-based software company in Thailand?

 
About the company: Our partner is an AI-based recruitment software company based in Bangkok, Thailand. Its mission is to offer easy-to-use software to empower small, medium, and large companies in their staffing & recruitment transformation.
 

Their goal is simple: to provide solutions to the recruitment world’s difficulties and make the entire process simple and enjoyable for recruiters, hiring managers, and candidates alike. Globally trusted by thousands of companies in over 130 countries, the company’s growth goes hand in hand with their client’s own. They’re passionate about developing solutions for the changes they encounter and filling the recruitment gap with innovative tech implementation.

 

Company Location: Bangkok, Thailand.

The company is open to sponsor relocation packages for candidates who are currently not in Bangkok.
 
Office Address: 26/58 Orakarn Building 16th floor, Chidlom alley, Phloen Chit Rd, Khwaeng Lumphini, Khet Pathum Wan, Krung Thep Maha Nakhon 10330

Responsibilities:

– Set, define, and own the data science roadmap
– Build a team of data scientists and mentor junior scientists and engineers
– Build, maintain and enhance core features of Manatal including candidate recommendation engine and CV/Resume parsing services
– Design, prototype, and implement models across several domains. Manage each part of a projects life cycle, including ad-hoc exploration, preparation of training data, model development, and production deployment
– Help define and implement a framework of continual innovation within the ML infrastructure and orchestrate a continuous cycle of learning, inference, and observation
– Partner with engineers to develop ML pipelines, and maintain high system availability and reliability
– Utilize methods such as Natural language processing, clustering, and dash boarding (among others) to create solutions.
 
Interview Process
– 1st Interview
– Technical Take-home Test
– 2nd Interview with CTO

Job Requirement

– BA/BS in Mathematics, Statistics, or Computer Science required. Master’s Degree in a quantitative or scientific discipline is strongly desired

– Experience with building and managing a team of data scientists
– Advanced statistical modeling skillset
– Advanced SQL querying, data mining, and data cleansing skillset
– Excellent knowledge of Python, including common scientific computing packages and data science tools such as NumPy, Pandas, NLP libraries, Tensorflow and Scikit-learn
– Deep knowledge of supervised and unsupervised machine learning algorithms (neural networks, decision trees, etc.)
– Advanced knowledge of experiment design
– Hands-on experience with cloud infrastructure tools (EC2, S3, Redshift)
– Advanced visualization/reporting and presentation experience
– Version Control Experience (GitHub)
– Basic knowledge of web applications and service-oriented architecture
– Knowledge of ML infrastructure (ETL, tools, new products in the space)
– Excellent strategic project skillset
– Excellent communication skills (written and verbal)
– Experience at a B2B SaaS company is a plus

Benefits

– Salary up to $7000

– Health Insurance
– Dental Fee
– Laptop Allowance

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