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[Remote] [$2500 - $3200] Applied Data Scientist

at a big Navigos Search's Client in IT

Manager Da Nang IT-Technical Data Processing & Outsourced Services
$ Gross Salary from $2500 to $3200
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Candidate Coordinator Supervisor at
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Consultant information:

I have chances to work in different industries as a staff for sales, sales operations, customer services and HR departments. For me, the most interesting thing in working is communication with people to overcome problems, find better solutions for the companies, and also to make close relationships with all for long term. Thus, I believe that working for the team that helps people to connect with right candidates and right consultants is a tremendous chance to learn, develop and enjoy also. That’s so great to work here in such a professional firm like Navigos Group.

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  • Will be given in interview


  • Will be given in interview
The Job


- Lead the development of machine learning algorithms on health/fitness data
- Improve the scalability, usability, and performance of the current machine learning pipeline.
- Work closely with cross-functional teams to address issues relating to time series -data coming from sensors and edge devices.
- Bridge the gap between R&D and production.
- Work with our product managers, data scientists, and firmware engineers to ensure the delivery of high-quality and robust solutions.

Growth opportunity

Your Challenge

Will be given in interview

Promotion Opportunity

Will be given in interview

The job


- 3+ years of professional experience designing ML systems;
- BS/MS/PhD in computer science, electrical engineering, or a relevant technical discipline;
- Strong Python programming abilities
- Expertise with leading machine learning product development on time-series data (sensor, IOT devices, health/fitness tracking, audio, etc.) Proficiency manipulating huge data with Apache Spark (PySpark)
- Extensive expertise in software architecture design, operations, performance, scaling, and operations management.
- Proven ability to manage difficulties including ambiguous or abstract problem definitions.
- Fluent in English
Nice to have:
- Expertise in computation and memory-constrained edge devices.
- Proven track record of developing and deploying machine learning models that perform well on edge hardware
- Processing of signals



Revenue Size Will be given in interview
History Will be given in interview
Employees Will be given in interview

Company culture

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Get to know your line manager
You will report to: N/A