Support and provide advice to the Business Intelligence and Analytics team in creating insights gained from analyzing relevant company data. Obtain information from various sources and analyze for a better understanding about how the business performs and to build Artificial Intelligence (AI) tools that automate certain processes within the company.
Job Context & Major Challenge(s) – I
Primary focus will be applying data mining techniques, conducting statistical analysis, and building high quality prediction systems integrated with our products.
Role is responsible for using large data sets to locate opportunities for process optimization and using models to test the effectiveness of different courses of action.
Major challenge of the role include (1) using a variety of data mining or data analysis methods utilizing a variety of data tools, (2) building and implementing models using and creating algorithms and (3) creating and running simulations for complex Information Technology (IT) scenarios and solutions.
Key Job Accountabilities – I
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Analyze 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.
Bachelor’s degree in Computer Science/Engineering, Information Technology or Information Systems or equivalent
Knowledge and/or Experience – I
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.
Technical and Business Skills – I
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 IT industry.
Compliance towards IT and business continuity risks and their mitigation.
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