Vacancy expired!
Company Overview Nabors is a leading provider of advanced technology for the energy industry. With operations in about 20 countries, Nabors has established a global network of people, technology and equipment to deploy solutions that deliver safe, efficient and responsible hydrocarbon production. By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a lower carbon world. Nabors is committed to providing equal employment opportunities to all employees and applicants and prohibiting discrimination and harassment of any type without regard to race, religion, age, color, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This applies to all terms and conditions of employment including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. To learn more about our Fair Employment practices, please refer to the Nabors Code of Conduct. JOB SUMMARY Data Science Engineer will help develop data science applications using machine learning and statistical techniques, help discover the information hidden in large and complex data sets Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products Candidate must have experience using a variety of data mining and statistical methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. DUTIES AND RESPONSIBILITIES
- Understanding of statistics and hypothesis testing (ex. Confidence Interval, Regressions, Time Series, Clustering, Factor Analysis)
- Use predictive modeling and machine learning algorithms to solve complex problems
- Stay abreast of state-of-the-art machine learning technologies; follow code standards and best practices
- Develop and maintain forecasting models and tools using frameworks such as TensorFlow
- Doing ad-hoc analysis and presenting results in a clear manner
- Use Deep Learning frameworks like PyTorch, Tensorflow and MxNet is a plus
- Strong written and verbal communication skills
Vacancy expired!