Data Science Specialist at Thai Oil | Jobyssey

ROLE & RESPONSIBILITY

Work with stakeholders throughout the organization to understand data needs, identify issues or opportunities for leveraging company data to propose solutions for support decision making to drive business solutions.
Adopting new technology, techniques, and methods such as machine learning or statistical techniques to produce new solutions to problems.
Conducts advanced data analysis and create the appropriate algorithm to solve analytics problems
Improve scalability, stability, accuracy, speed, and efficiency of existing data model
Collaborate with internal team and partner to scale up development to production
Maintain and fine tune existing analytic model in order to ensure model accuracy
Support the enhancement and accuracy of predictive automation capabilities based on valuable internal and external data and on established objectives for Machine Learning competencies.
Apply algorithms to generate accurate predictions and resolve dataset issues as they arise
Be Project manager for Data project and manager project scope, timeline, and budget
Manage relationships with stakeholders and coordinate work between different parties as well as providing regular update
Control / manage / govern Level 2 support, identify, fix and configuration related problems
Keep maintaining/up to date of data modelling and training model etc.
Run through Data flow diagram for model development

EDUCATION

Bachelor's degree or higher in computer science, statistics, or operations research or related technical discipline

At least 5 years’ experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis
Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis
Experience using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Qlikview, Rapid Miner, Apache , Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages
Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark)
Experience developing and deploying machine learning model in production environment.
Knowledge in oil and gas business processes is preferrable.