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Data ScientistKai OS Technologies (Hong Kong) Limited
Data ScientistKai OS Technologies (Hong Kong) Limited

Job Highlights

  • Degree in Mathematics/ Computer Science/ BI & Data
  • At least 5 years in Commerce/ Mobile apps/ Gaming
  • GLM/Regression, Random Forest, R, Python, PowerBI

Job Description

Now we're looking curious and analytical data scientists to help us tackle some of our most challenging and meaningful tasks.

As a Data Scientist at KaiOS you'll be working with a team of world-class engineers and analysts to gain insight, optimize systems, and drive revenue. Your responsibilities will include designing, producing and improving ML & AI systems that will optimize some of the most crucial aspects of KaiOS' monetization strategy.

How do we optimize our advertising revenue? How should the recommendation engine in our app store work? What can we learn and deduce about our user base? What on earth does that weird spike on the graph mean?! Do our business forecasts make sense? These and many other challenges will be part of your day to day activities at KaiOS.

As part of the KaiOS Monetization team, the overarching goal of our activities will be to find ways to necessary to allow us to reach our goal of bridging the digital divide without sacrificing user experience. 

If you’re a passionate and driven data scientist with experience working in Tech we definitely want to hear from you. Previous experience from eCommerce, mobile apps/gaming or other similar fields is a strong plus.

Apart from being a wizard with algorithms and analysis, we also expect you to be technically literate enough to participate in high-level technical discussions with our engineers, and to be able to work independently.

We would like to see that you have experience with:

Degree in Mathematics, Computer Science, BI & Data, preferably in Statistics

At least 5 years' relevant experience in Commerce, mobile apps/gaming or other similar fields.

Statistical and data mining techniques like GLM/Regression, Random Forest, Boosting, Trees etc.

Statistical/data languages: R, Python, SQL etc.
Web services: Redshift, S3, Athena etc.
Creating and using advanced machine learning algorithms: simulation, clustering, neural networks, etc.
Data/database tools: Excel, MySQL/PostgreSQL etc.
Data visualization & presentation for stakeholders using: PowerBI, tableau etc.

If you think you fit the bill, we can't wait to hear from you. Contact us to today and join us on the journey of connecting the next billion people to the internet!


We offer attractive salary and fringe benefit. Interested parties please apply with your full resume stating present and expected salary to Human Resources Manager via email by clicking "Apply Now".

For more information, please visit our website at

All information provided will be treated in strict confidence and used solely for recruitment purposes.

Additional Information

Career Level
Years of Experience
5 years
Employment Type
Full Time, Permanent

Company Overview

KaiOS Technologies powers an ecosystem of affordable digital products and services, and exists to empower people around the world through technology. Its flagship product, KaiOS, is the leading mobile operating system for smart feature phones with more than 100 million devices shipped in over 100 countriesKaiOS is based on HTML5 and other open web technologies. Devices running on the platform require limited memory, while still offering a rich user experience through access to apps like the Google Assistant, YouTube, Facebook, Google Maps, and Twitter 


Kai’s mission is to open up new possibilities for individuals, organizations, and society by bringing mobile connectivity to the billions of people without internet in emerging markets, as well as providing those in established markets with an alternative to smartphones. To make this happen, Kai partners with leading ODM/OEMs and carriers, such as AT&T, Sprint, T-Mobile, Orange, MTN, China Mobile, HMD, Doro, and Bullitt. Kai is also backed by major technology and telecom industry players, including GoogleReliance Jio and TCLTogether with these partnersKai focuses on creating affordable devices and data plans that make internet access a reality for everyone, while simultaneously helping partners transform their business models. 

Additional Company Information

Benefits & Others
Dental insurance, Double pay, Five-day work week, Flexible working hours, Life insurance, Medical insurance, Performance bonus, Transportation allowance

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