Data Scientist » EltasJobs

At Murphy Oil Corporation, we believe the rich experiences and backgrounds of our employees strengthen our Company, create a productive workforce, and drive our success. We encourage you to apply for the positions for which you meet the qualifications.

Work Schedule: USA – 9 hrs / day – 4 hrs on Fri
Company: Murphy Expl & Prod Co – USA
Division: Onshore Operations
Worksite: Houston – 0329
Location: Houston, Texas

Murphy US Onshore Operations is looking for a Data Scientist to support various teams like drilling, completions, production and so on to gain insights from analyzing data from external and internal datasets. The ideal candidate would be a problem solver who can analyze data, identify problems, develop and improve workflows, automate processes and lead the business units to make data driven decisions. The right candidate would be passionate about finding solutions hidden in large datasets and working with stakeholders to improve business results.

Responsibilities
- Perform data mining, cleansing, and manipulation; identify necessary data elements and their sources, leverage appropriate tools to acquire and consolidate large volumes of data from different sources, and identify and resolve any irrelevant, corrupt, missing, or incongruent data
- Identify and use appropriate technologies and platform to execute analytics against business requirements, including the ability to scale, deploy and distribute models across enterprise as needed
- Support the development of business cases for new solutions, with in-depth analysis of the challenge being addressed, the cost of the solution and projected business impact
- Support the development of performance management scorecards and dashboards to monitor adoption, implementation and impact of price and cost strategies
- Collaborate with cross-functional teams to frame requirements within an analytics context to tackle business goals
- Research and develop statistical learning models for data analysis
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design

Minimum Requirements

Master’s Degree in a quantitative field such as Computer Science, Statistics, Mathematics or another quantitative field with at least 3 years of professional industry experience as Data Scientist

PHD in in a quantitative field such as Computer Science, Statistics, Mathematics or another quantitative field

Skills

Proficiency with several programming languages such as C, C++, Java, JavaScript, Perl.
Experience querying databases and using statistical computer languages: R, Python, SQL, MapR, Hadoop
Data visualization experience in Matplotlib, Spotfire, ggplot2 or a similar tool.
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience with machine-learning algorithms including decision trees, probability networks, association rules, clustering, regression, and neural networks
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc