Data Science Specialist

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 EXPERIENCE 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. OTHER REQUIREMENTS