Data Scientist (with Machine Learning)

5 سبتمبر، 2022

0 8 2 دقائق

الوصف الوظيفي

About role

The Data Scientist will be responsible for designing and executing undirected research and tackling open-ended data problems related to AI, ML, predictive / analytical modelling, data mining, and research on large scale, complex data sets, using statistical, machine learning, graph modelling, text mining and other modern techniques. This individual is also responsible for collaborating with various teams and providing periodic updates through presentations and prototype demonstrations. The role will require working on multiple projects simultaneously. This position will also be involved in the formulation of key business requirements to be solved, rationalizing the various analytical approaches to solve those problems. Finally, this position is involved in helping to develop, analyse and draw conclusions, and presenting the results back to business users. Depending on the candidate’s qualification, this position can be either a Data Scientist or a Senior Data Scientist.

Responsibilities

Researches and assesses next-generation technologies for data-driven solutions in subsurface resources exploration and production.
Generates innovative ideas, establishes new research directions, and shapes and executes on technical projects
Applies theoretical knowledge to solve industrial problems
Applies engineering knowledge in developing data-driven algorithms and prototypes for classification, regression, anomaly detection, failure prediction, and optimization
Works with business and engineering teams to implement robust and scalable industrial software solutions
Maintains state-of-the-art knowledge and contributes to technical discussions and reviews as an expert in related areas of responsibility
Communicates ideas, plans, and results effectively via oral and written reports – Works effectively with peers, management, operations groups, and outside organizations
Participate in technical forums and other appropriate events and conferences

المهارات

Qualifications and Requirements

Essential qualifications

Bachelor’s or master’s degree in computer science, mathematics, physics, applied science, engineering or similar disciplines with demonstrated research capability with 5+ years of relevant experience.
Demonstrated experience in developing core machine learning algorithms in professional research and development settings
Strong background in some of these listed areas: machine learning, time series analysis / sensor processing, deep learning, optimization/operations research, text analytics/NLP, computer vision
Demonstrated experience in building and applying machine learning / predictive modelling in real-world use cases
Excellent communication, verbal, and written skills

Preferred qualifications

Excellent knowledge of developing deep learning models using tools such as TensorFlow, Keras, Pytorch, etc.
Understanding and experience of Oil and Gas domain is a plus.
Experience working with, processing, and managing large data sets (multi-TB scale) is preferred
Track records of past publications in relevant topics
Immediate availability is an advantage
Ability in designing distributed and parallelized algorithms