Data Scientist

Data mining or extracting usable data from valuable data sources
Processing, cleansing, and validating the integrity of data to be used for analysis
Using machine learning tools to select features, create and optimize classifiers
Carrying out preprocessing of structured and unstructured data
Developing prediction systems and machine learning algorithms
Analyzing large amounts of information to find patterns and solutions
Propose solutions and strategies to tackle business challenges
Enhancing data collection procedures to include all relevant information for developing analytic systems
Presenting results in a clear manner
Collaborate with Business and IT teams

Attractive salary. Performance based award.
Continuous development of hard and soft skills through work and professional trainings.
Opportunity to approach newest technology trends
Have a chance to go Onsite Japan short-term or long-term
Exciting leisure: sport and art events (football club, family day...)
Young and dynamic working environment.
Company's labor policy completely pursuant to Vietnamese labor legislation plus other benefits offered by the company (Company trip, Holiday, etc.)

Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL
Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
Hands-on experience with data science tools
Strong Software Engineering Background
Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
Experience with Data Visualization Tools like PowerBI, Tableau that help to visually encode data
Problem-solving aptitude
Analytical mind and great business sense
Degree in Computer Science, Engineering or relevant field is preferred
Proven Experience as Data Analyst or Data Scientist