Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Analyse and examine data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Assess and advice regarding the effectiveness and accuracy of new data sources and data gathering techniques.
Develop and analyse custom data models and algorithms to apply to data sets.
Prepare and utilize predictive modeling techniques to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Develop company A/B testing framework and test model quality.
Provide advice and coordinate with different functional teams to implement models and monitor their outcomes.
Develop processes and tools to monitor and analyse model performance and data accuracy.
Qualifications:
Bachelor?s degree Computer Science/Engineering, Information Technology, Information Systems or other relevant discipline.
8 years of IT experience within Oil & Gas industry with specific experience establishing IT Systems and Applications.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining and social network analysis.
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM & Decision Forests.
Experience with common data science toolkits and data visualization tools.
Proficiency in using query languages such as SQL, Hive, Pig and SAP HANA.
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase and SAP HANA.
High standard of written and Spoken English.
Computer Literacy (MS Office) including the use of software applications and SAP modules.
Awareness in applying standards, practices, codes, assessment, and certification programs relevant to the IT industry.
Compliance towards IT and business continuity risks and their mitigation.
