Senior Data Science Engineer

Senior Data Science Engineer

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
Sr Data Science Engineer will help discover the information hidden in vast amounts of data and help make smarter decisions to deliver even better products. The primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with drilling products. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action in the drilling and/or oil gas industry. Candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. Candidate must have a proven ability to drive business results with their data-based insights. Candidate must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.


DUTIES AND RESPONSIBILITIES

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling and machine learning algorithms to optimize business processes and thereby generate revenue for the company.
• Assess and enhance data collection procedures to include information that is relevant for building analytic systems
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
• Develop company A/B testing framework and test model quality.
• Co-ordinate with different functional teams to implement models and monitor outcomes.

• Develop processes and tools to monitor and analyze model performance and data accuracy.Develop applications (programming, coding)
• Ability to multitask and work well independently and in a team environment
• Ability to generate research ideas

• 6-8 years of experience manipulating data sets and building Machine Learning models
• Masters or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
• Coding knowledge and experience with several languages: Python, C, C, Java, JavaScript, etc.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Experience querying databases and using statistical computer languages: R, Python, etc. o Experience working with Oil and Gas drilling data and time series data is preferable.
• Experience using web services: REST API, SOAP, WCF etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Proficiency using query languages like SQL, Hive etc.
• Experience with distributed data/computing tools: Hadoop, Hive, Spark, Oracle, MySQL, Cosmos DB, Mongo DB etc.
• Experience visualizing/presenting data for stakeholders using MicroStrategy, StreamBase, SpotFire, PowerBI etc
• Strong problem solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.

• Office environment
• Occasional travel to rig yards and field
• While performing the duties of this job, the employee is frequently required to sit. The employee is occasionally required to stand, walk and use hands. The employee may occasionally lift and/or move up to 20 pounds. Specific vision abilities required by this job include close vision and distance vision