Data Scientist (salary is negotiable)Siam Makro (Thailand)

Description
Mango is an exciting new digital venture by the iconic Makro. Our proud purpose is to build a technology platform that will help make business possible for restaurant owners, hotels, and independent retailers, and open the door for sellers by bringing together the best talent to transform the B2B marketplace ecosystem in Southeast Asia. To do so, we are bringing together the best talent to transform the B2B marketplace ecosystem. We welcome bold, energetic, and thoughtful people who share our belief in collaboration, diversity, excellence, and putting customers at the heart of our work
Take your career to new heights in the future of B2B e-commerce. Join our team in Bangkok and help us build Southeast Asia's next unicorn - the platform that helps restaurants, hotels, and small retailers thrive through one of the most challenging times in history
Your Challenge
As a Data Scientist you will work in collaboration with our business and engineering people, on creating value from data. Often the work requires solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling and machine learning. You have a strong foundation in analytics, mathematical modeling, computer science, and math - coupled with a strong business sense. You proactively fetch information from various sources and analyze it for better understanding about how the business performs. Furthermore, you model and build AI tools that automate certain processes within the company. The solutions produced will be implemented to impact business results.
Designs, develops, and implements end-to-end cloud based machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation)
Ensures that data pipelines are scalable, repeatable, and secure, and can serve multiple users within the company
Enables big data and batch/real-time analytical solutions that leverage emerging technologies
Collects, parses, manages, analyzes and visualizes large sets of data using multiple platforms
Translates complex functional and technical requirements into detailed architecture, design, and high performing software
Codes, tests, and documents new or modified data systems to create robust and scalable applications for data analytics
Implements security and recovery tools and techniques as required
Works with Data Science Lead and developers to make sure that all data solutions are consistent
Ensures all automated processes preserve data by managing the alignment of data availability and integration processes
Develops standards and processes for integration projects and initiatives
Requirements
Minimum of 5 years of experience in data science
Master's or PhD Degree in Information Technology, Computer Science, Mathematics, or a related quantitative discipline
Fluency in a high-level modeling language such as MATLAB, R, Stata, etc.
Fluency in a software programming language such as Python, C++, Java, etc
Hands-on knowledge in any of the following visualization tools: Tableau, D3, Ggplot, PowerBI
Deep understanding of high performance algorithms and implementation
Expert knowledge of data modeling and understanding of different data structures - demonstrable ability to design and implement highly scalable data use cases and models
Experience in consumer/retail/e-commerce data science (e.g., machine learning applied for churn analysis, recommender systems, personalization etc.) preferred
Excellent problem solving, critical thinking, and communication skills
Ability to convey rigorous mathematical concepts and considerations to non-experts
Ability to distill problem definitions, models, and constraints from informal business. requirements; and to deal with ambiguity and competing objectives
Demonstrated experience with agile or other rapid development methods
Professional attitude and service orientation; superb team player
Basic understanding of programming, statistics, machine learning, data munging, and data visualization
Attention to detail and the ability to effectively present results
Strong communication skills, orally and in writing
Passion for innovation and "can do" attitude
Strong work ethic; ability to work at an abstract level and gain consensus
Attitude to thrive in a fast-paced environment