Data Scientist

Responsibilities:

Data mining or data extracting from multiple data sources.

Design, develop, and deploy ML/AI algorithms and deploy the algorithms to production.

Research and analyze data to find deep relations within that data to be used within the ML/AI algorithms.

Carrying out preprocessing of structured and unstructured data.

Present result in a clear manner.

Collaborate with teammates to tackle the machine learning problem

Qualifications:
3+ years’ work experience in tech industry and relevant work experience in machine learning and data science.
Bachelor’s degree (preferably statistics, mathematic, computer science or other science and engineering major).
Having good knowledge in machine learning algorithms and applied statistical skills.
 Experience with applying ML techniques to solve problems like classification, regression, clustering.
Ability to do exploratory analysis on big data and find key descriptive and inferential properties in large and diverse datasets.
Proficient in Python (especially numpy, pandas, matplotlib, Scikit-learn, TensorFlow, and keras libraries).
Experience with SQL programming.
Be able to communicate in English.
Accuracy and attention to detail, high intellectual curiosity and ability to learn new concepts.
Good problem-solving skills.
Strong sense of responsibility.