Data Scientist
Hacarus Inc.
- Makati, Philippines88 Corporate Center Sedeno corner Valero Streets Makati City, Makati, Kalakhang Maynila, Philippines, Makati, Kalakhang Maynila, PhilippinesMakatiKalakhang MaynilaPhilippinesPhilippinesTELECOMMUTE
- Full timeFULL_TIME
Expired 5 years ago
2019-04-19T16:16:00.548060+00:00Job closed.
Job Description
As a Data Scientist, you will be creating and operating machine learning models and incorporate them into service as a collaboration with the development team
Responsibilities
- Construction and operation of data engineering foundation
- Model development such as recommendation and image analysis
- Incorporate analysis into service
- Implementation of pilot analysis and creation of reports
- Built-in service in collaboration with software engineers
Minimum Qualifications
Minimum Qualification
- A degree in Computer Science, Information Technology, Mathematics or any related field, ideally with an emphasis on data analysis
- Experience in service development using machine learning (excluding interns)
- 3 years working experience in data analysis
- General knowledge and experience on AWS is a plus
- Your written and spoken English is excellent
- Experience in web and/or mobile applications development is a plus
- Experience in working using Git, have a technical blogging, etc., is a plus. Please do indicate on the resume as it will be a reference for selection
Perks and Benefits
Work from Home
Paid Vacation Leave
Paid Holidays
Medical / Health Insurance
Required Skills
- Amazon Web Services
- Python
- Machine Learning
- Data Analysis
Preferred Courses
- Information Technology
- Computer Science
- Mathematics
Jobs Summary
- Job Level
- Associate / Supervisor
- Job Category
- IT and Software
- Educational Requirement
- Bachelor's degree graduate
- Recruiter response to application
- Often
- Office Address
- 88 Corporate Center Sedeno corner Valero Streets Makati City, Makati, Kalakhang Maynila, Philippines
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About Hacarus Inc.
Hacarus started out in 2014 as a healthcare AI venture, with a mission to achieve health and a long life through a nutritious diet. From the beginning, we used AI technology (artificial intelligence) to optimize food and nutrition balance on an individual level.
Our main differentiation is our Sparse Modeling methodology, which works efficiently with small amounts of data. That’s why we call our approach Small Data AI.
We believe that, in the long term, increasing the availability of proprietary technologies helps to advance the human condition, reducing poverty and inequality in the world. Distributing our Sparse Modeling AI to firms creates greater efficiency and productivity in society. In practicality, this translates to being able to better diagnose diseases, learn useful medical insights, and bring cheaper products to consumers through efficient manufacturing practices.
Looking to the future, we plan to extend our technology to an even greater number of sectors and applications to aid in making human lives healthier and longer.