Data Scientist (Senior/Associate)

Job Description

• Define and develop data science solutions tailored to the needs of customers that provide meaningful insights, and translate insights into actionable plans for customers
• Gather, analyze, design, and apply statistical and data science methods to structured, semi-structured data, and/or unstructured data to provide business insights for decision making or developing state-of-the-art machine learning algorithms to power our products and services
• Manage data science initiatives, design analytical tables, and implement end-to-end process from analytical model development to validation, testing, and deployment with high levels of efficiency and quality
• Strong verbal and written communication skills to express data science concepts, solutions, recommendations and the benefits and impacts of the recommendations in a clear and effective manner through effective visualization and to others of varying technical levels
• Apply your expertise and best practices to support business development activities by providing use cases and solutions that meet customers’ needs and presenting/demonstrating solutions to customers
• Research and stay connected with data analytics technologies and innovations across the industry and share findings with team members to drive business opportunities and enhance team capabilities
• Develop individually to continue to grow your impact, and act as mentor to junior team members

Qualification

• Bachelor's degree or Master’s degree in Data Science, Statistics, Business Analytics, Mathematics, Computer Science, Computer Engineering, Operations Research or related field.
• 3+ years of data science work experience
• Solid understanding of and proficiency with machine learning, deep learning, statistics, data mining, big data analytics and AI with a clear commitment to quality and accuracy
• Strong knowledge of and experience with machine learning methods such as Linear and Non-linear Regression, Logistic Regression, KNN, Naïve Bayes, SVM, Boosting and Bagging, Random Forest, XGBoost, Association Rules, Decision Tree, Cross Validation Method, Forecasting, Clustering, Neural Networks, Deep learning, Optimization, and/or Natural Language Processing)
• Proficiency in languages used for querying (e.g. SQL/Hive/Pig/Spark), preprocessing (e.g. Python), and statistical analysis (e.g. Python/R), and comfortable working with large, complex, and potentially messy datasets
• Experience in data extraction, transformation, cleaning, and validation
• Experience in cloud (AWS, Azure, Snowflake, Google Cloud Platform), big data technologies (e.g. Hadoop, Hive, Spark, Cloudera, NoSQL DBs) and RDBMS systems (MySQL, Oracle Database, etc.) is preferable
• Experience with visualization tools such as Tableau a plus
• Excellent analytical and problem-solving ability with the ability to use logical reasoning and creative thinking
• Strong communications skills and ability to communicate analytical and technical content in an easy to understand way
• Strong people skills, team-orientation, and a professional attitude
• Ability to work effectively with people at all levels in an organization and collaboratively in a team environment
• High emotional intelligence, a can-do mentality and a creative approach to problem solving
• Curiosity, self-motivated, team worker, responsible, detail-oriented and delivery-oriented
• Demonstrated leadership within or outside a work setting
• Fluent in Thai and English, both written and verbal