TOG recruitment

Overview of job

For one of our clients, TOG recruitment is looking for a Data Scientist, to work in Ho Chi Minh city. As such, you always will be working with the latest proven technologies in a state of the art office with an open environment. You will work closely together with partners outside Vietnam and will join one of the SCRUM development cycles. Daily stand up video conferences can or will be part of the job. Therefore English training courses are provided to improve English communication skills.

Our client is looking for a Data Scientist to analyze large amounts of IoT data to find patterns that will help to apply Machine Learning in industry. They will rely on you to build algorithm products and integrate them into their system to resolve problems in IoT field such as anomaly detection, forecasting, survival analysis, ...

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Responsibilities:
- Undertaking preprocessing and analysis data related to IoT.
- Build predictive models and machine-learning algorithms to address business problems(Anomaly detection, forecasting, survival analysis,...)
- Presenting information using data visualization techniques
- Collaborate with engineering and product development teams

Domain: (DX) Digital Transformation
Project Duration: Long-term
Teamsize: 20

Must have:
- Proven experience as a Data Scientist or Data Analyst at least 3 years
- Experience in timeseries data research is required.
- Knowledge of Python.
- Strong math skills (e.g statistics, algebra)
- Excellent communication and presentation skills.
- PhD/MS in Computer Science, Engineering, or a relevant field is preferred.

Nice to have:
- Have knowledge of machine learning engineering such as Optimizer model with Tensorrt, Deploy models, Monitoring models, ...
- Experience with AutoML Algorithms.
- Have published papers related to IoT problems.