Data Science Designer (Oil & Gas)

Data Science Designer

Job Requirement for OMPIL

Roles and Responsibilities

• He / She will be designing a process model of Onshore MP Digital Transformation Program.
• To design, develop and deploy the most relevant solution that fit the department business process thru Artificial Intelligence, Machine/Deep Learning and Process Optimization
• To design, develop and deploy an interfacing program of the department business process to virtually apply to any commercial platform such Digital Twin, Pega System, SAP ERP, Microsoft Azure and Google Cloud.
• Work with stakeholders to determine how to use business data for valuable business solutions
• Search for ways to get new data sources and assess their accuracy
• Browse and analyze enterprise databases to simplify and improve product development, execution techniques, and business processes
• Create custom data models and algorithms
• Use predictive models to improve Contractor/Customer experience and performance, KPI targeting focus, time/cost optimizer, and more
• Develop the organization’s test model quality and A/B testing framework
• Coordinate with various technical/ functional teams to implement models and monitor results
• Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy.
• The job requires for 8-hour on normal working days (5day-week) for one-year assignment.

Candidate Experience Preference

• Minimum 5 experience as a Data Scientist
• A natural inclination toward solving complex problems
• Knowledge/experience on/with statistical programming languages, including R, Python, SLQ, etc. to process data and gain insights from it
• Experience using and developing data architectures
• Knowledge of Machine Learning Techniques, including decision trees learning, clustering, artificial neural networks, ensemble method, deep learning etc., and their pros and cons
• Knowledge and application experience in advance statistical techniques and concepts, including, regression, distribution properties, statistical testing, etc.
• Good communication skills to promote cross-team collaboration
• Impulse to learn and master new technologies
• Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc.
• Experience/knowledge in statistics and data mining techniques, including, random forest, GLM/regression, text mining, etc.
• Experience with major web services, including S3, Spark, Redshifts, etc.
• Experience/knowledge in distributed data and computing tools, including, MapReduce, MySQL, Hadoop, Spark, Hive, etc.
• Ability to use data visualization tools to showcase data for stakeholders using D3, ggplot, Periscope, and more.

Education

Bachelor’s degree in Data Science, Computer science, Computer Engineering or other related degree. A Master’s degree in relevant background are most preferred.