Data Scientist and Analytics Consultant
Pearl, Thailand
AIS - Advanced Info Services Plc.
เอไอเอส ผู้ให้บริการเครือข่ายโทรศัพท์เคลื่อนที่รายเดือนและเติมเงิน รวมทั้งบริการต่างๆเกี่ยวกับอุปกรณ์มือถือ สมาร์ทโฟน iPhone อินเตอร์เน็ต WIFI และ AIS 4G 5G คุณภาพBecome a part of Thailand’s no.1 Digital Service Provider, Who strives to provide best services that help people fulfil their dreams.
We are looking for potential candidates who are eager to learn and grow to join our young talent team.
Job Posting Location
BangkokJob Summary
Gathering and use the information in vast amounts of data from various sources, for generating and analyzing through data science processes such as machine learning, data mining, optimization, etc. to drive new perspectives, services and new business strategies for our company.Job Description
Understanding of business problems for gathering/analyzing/designing the data to solve the problems from end-to-end process
Excellent in written and verbal communication skills for coordinating across teams.
Analyze large amounts of information to discover trends and patterns
Can lead the analytics group in management of projects and experiment designing, implementing innovative Predictive Models, implementing innovative analytic solutions or driving outstanding results
Proficient in common data science toolkits (R, Python) and using SQL languages
Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Minimum Experience
At least 1 year of experience with Data Analysis in using statistical language - Python, R
Good in applied statistics, mathematics, operation research and computer science
Recruiter
Atitaya Dechpan (อทิตยา เดชปาน)* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Computer Science Data analysis Data Mining Hadoop Machine Learning Mathematics Python R Research SQL Statistics Tableau Testing
Perks/benefits: Startup environment
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