Data Scientist reports to the Business Solutions Manager at R&T and is responsible for all Data Mining, Programming, Machine Learning and Analytical tasks associated with company generated data. This position focused on Research and Development to unlock the value in data assets while creating new and unique offering for customers in the oil & gas industry. In this role, you will work with the R&T leadership to help develop the data strategy and advanced data analytics algorithms for the business. Typically preferred a PHd in Computer Science or Mathematics and 5 - 10 years Data Mining, Machine Learning, Optimization Predictive and Prescriptive Analytics .
Works closely with third party providers in the development, testing and implementation of Machine Learning Algorithms and Systems .
Extracts, cleans and converts unstructured raw company generated information into analytically useful data sets.
Develops, tests and implements in-house Machine Learning algorithms.
Ensures that the data set presented for analysis is compatible with any algorithm developed either in-house or through a third-party system.
Continually refines and optimizes Machine Learning algorithms.
Works closely with the Realtime Data Cloud Development Team in the deployment of algorithms and associated systems.
Recommends methodologies in the development of optimal Machine Learning solutions.
Provides programming expertise as required.
Work closely with cross-functional teams in Operations, Asset Integrity, Research and Technology.
Network and collaborate with a broad range of internal business units to define and deliver joint solutions.
Perform other duties as assigned
Required Knowledge, Skills and Abilities
Knowledge of and experience in Machine Learning, Data Analytics, Data Mining and Optimization.
Knowledge and expertise in SQL, Java, R, Python, C, C++, and MATLAB.
Knowledge and understanding of Data Structure, Data Mining, Predictive and Prescriptive Analytics, Algorithm development, Optimization and Machine Learning Frameworks.
Knowledge of databases, modeling and schemas.
Ability to test and evaluate the impact of sensor generated parameters on key performance indicators.
Ability to solve complex data modeling tasks.
Ability to effectively interact with multi-disciplinary teams.
Ability to communicate professionally, both orally and in writing.
Ability to establish and maintain effective business relationships with cross-functional teams.
Ability to multi-task, work under pressure and react professionally to unplanned events.
Required Experience and Education
Data Mining, Machine Learning, Optimization Predictive and Prescriptive Analytics
Experience with Big Data analysis in the Oil and Gas Sector
Required Travel: Up to 10%
Number of Openings: 1
FLSA Status: Exempt
Type of Position: Exempt
Position Status: Full Time
Additional Available Locations: