Data Science Engineer – Machine Learning in Cognitive Science (Full Time)



Data Science Engineer (Full Time)


Solid understanding of Computer Science fundamentals, including machine learning, object-oriented design, data structures, algorithm design, problem solving and complexity analysis. Knowledge of regression analysis, predictive models, collaborative filtering, decision trees, clustering problems applied to large data sets


We are seeking graduates or post graduates in computer science with a focus on machine learning and statistical programming. We are specifically interested in people with research or industry experience in cognitive science, natural language processing/generation, predictive analytics and recommender systems. We need someone with hands on programming experience in any language of their choice. We need you to help develop state-of-the-art cognitive based recommendation system for multiple lucrative space.

Salary and Benefit

Benefits & Perks

Our office environment:

1) Home liked co working office

2) Free Daily Lunch

3) Free flow of pantry, snacks, drinks and Indo Mie

4) One a month Team Innovative & Cultural Day (Sponsored by company)


1) Personal Career Development Workshops & Courses

2) Personal well being allowance

3) Employee discounts off hotels booked on company’s site

4) Personal Innovation Time, on projects you are passionate about



How To Apply

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Info Perusahaan


About TripCribs
Fastest growing Online Travel Agent based out from Jogja and Singapore that is inspired to revolutionize the industry with Innovative Technology. We look forward to eventually launch in US for strategic reasons. Recently funded and recognized by government agency.

Who are we?
We are a team of season entrepreneurs who graduated from Founder Institute (World largest incubator from Silicon Valley), with over 10 years experience in start up and travel industry. We are supported with a team of open minded talents who enjoy challenges and improving their knowledge and skills

Why join us?
We believe in developing and investing in innovative team players. We have a very strong company culture that is transparent and open. Love serving and putting customer interest before company. Dedicated in providing information, tips and advice to travel customers.