• Develop, test, and manage data pipelines
• Collect, explore, validate, and condition data
• Collaborate with business subject matter experts and data scientists to create data sets and engineer features for analytical models
• production and operationalize analytical models
• Adhere to ConocoPhillips’ governance and compliance policies for data and processes
• Monitor model performance
Required Qualifications Preferred Qualifications
BS Degree in Computer Science, Math, Engineering, Statistics, Information Systems, Information Science, or related field with a minimum of 5 years of related experience MS
Strong practical programming skills, including an advanced knowledge of one or more programming languages, and at least an intermediate knowledge of Python. R, C++, Java, SQL, Perl
Experience with data visualization/analytics tools, plus strong Excel skills Spotfire, Power BI
Experience with an RDBMS, including strong SQL skills Snowflake, Oracle hosted on Unix, Teradata, MS SQL
Experience connecting to enterprise systems
Experience with Cloud DevOps and Infrastructure as Code (IaC) Azure, AWS (Cloud Formation, Terraform)
MS Azure
Experience with handling large amounts of operational data Experience with Oil & Gas time series data feeds in combination with historical and unstructured data
Excellent verbal and written presentation skills, with the ability to communicate clearly and persuasively Oil and Gas Industry experience
Excellent interpersonal skills in areas such as teamwork and communications Open attitude towards and ability to learn and utilize new technologies and standards
An understanding of project processes and methodology to support Project Management initiatives and delivery of Project Management;