STelligence Company Limited is a Powered Reseller and Professional Service Provider for Big Data Analytic, Operational Intelligence, Business Intelligence, Network & Security Intelligence, and Telco Solutions. STelligence have pioneered IT Data Analytic in Thailand. We have highly skill staffs and expertise in IT business more than 15 years. With our expertise, we can deliver Best Integrated Solution for increasing uptime, fasten ROI, maximize Value and Opportunity for IT and Business. Also, we have developed new business models with profit sharing plans with our partners, and our customers.
Our customers are big enterprise such as Banking, Mobile Operators and Government in Thailand and also we provide professional service to partners in ASEAN countries.
As a Data Scientist, you will work on our machine learning platform and, you will work with the sales team to develop client relationships and deliver data science solutions for customers across a variety of industries. You will need to be comfortable leading technical demonstrations of our platform, helping clients develop models that add value to their organizations, and integrating those models into client environments. Ideal candidates enjoy day-to-day data science problem-solving mixed with high levels of customer interaction.
2+ years of real-world business experience
2+ years Hands-on experience building and implementing predictive models
Strong customer interaction skills
Excellent organizational, communication, writing and interpersonal skills
Familiarity with a variety of technical tools for the manipulation of dataset
Experience with machine learning techniques
Fluency with scripting (Python / R)
Experience with Hadoop and related Big Data technologies
Strong communication skills (English)
Visualizing data with Tableau or any other tools
Clustering and unsupervised learning
Time series and Anomaly Detection
We are looking for talented people with excellent engineering skills and deep knowledge of Machine Learning who can analyze problems, develop innovative solutions, and implement them for real-world use on top of our machine learning platform.