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.
Selecting features, building, and optimizing classifiers using machine learning techniques.
Conduct data mining activities using state-of-the-art methods in support of the ML projects.
Extending company?s data with third party sources of information when needed.
Enhancing data collection procedures to include information that is relevant for building analytic systems.
Processing, cleansing, and verifying the integrity of data used for analysis.
Completing ad-hoc analysis and presenting results in a clear manner when required.
Creating automated anomaly detection systems and conduct constant tracking of its performance.
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.
