Company: Nabors
Skills: IT - Analysis & Management
Experience: 1 + Years
Education: Bachelors/3-5 yr Degree
Location: Houston, Texas, United States


Company Overview

Nabors Industries owns and operates one of the world's largest land-based drilling rig fleet and is a provider of offshore drilling rigs in the United States and multiple international markets. Nabors also provides directional drilling services, performance tools, and innovative technologies for its own rig fleet and those of third parties. Leveraging our advanced drilling automation capabilities, Nabors' highly skilled workforce continues to set new standards for operational excellence and transform our industry.

 

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

Be part of the Nabors Early Career Development (ECD) program to fast track your career! This rotational program will provide access to advance your knowledge and skills in high-profile roles within the ECD program. You will start as a full-time Data Scientist /Engineer in Digital Technology. The ECD program offers multiple 6-month rotational training in key areas of digital technology during the initial 12-18 months of employment, to help build your knowledge and career development. The Data Sciences and Analytics team create solutions using advanced statistical analysis, data mining, and visual techniques in a technology driven environment. The ideal candidate will apply their data mining and statistical algorithms skills to help drive key business metrics. And be highly analytical with a passion for analysis, math, statistics & research. Learn from real life business exposure in the oil and gas technology industry to take your talents to the next level. Be part of the Nabors team. Position based out of Houston, TX.

 

DUTIES AND RESPONSIBILITIES

  • Assist with developing data science solution for drilling applications based on given requirements and specification
  • Generation of requirements documentation, preparations of project documentation and final presentation of results to management
  • Perform basic troubleshooting of data extraction tools, solution methods
  • Recommend commercial implementation methodology
  • Collecting, research and interpret data
  • Analyzing results
  • Reporting the results back to the relevant members of the business
  • Identifying patterns and trends in data sets
  • Working alongside teams within the business or the management team to establish business needs
  • Defining new data collection and analysis processes
  • Demonstrate illustrations and visualizations of data communicating results of business impact
  • Document completed work so others can understand and implement
  • Able to analyze data and understand the relationships and correlations
  • Follows procedures and safety guidelines
  • An appreciation of commitment to safety leadership
  • Solid comprehensive problem-solving skills
  • Mechanical aptitude and troubleshooting skills
  • Ability to multitask and work well independently and in a team environment
  • Ability to generate research ideas

MINIMUM QUALIFICATIONS

  • Bachelor of Science degree (BS) or Masters/PhD in Computer Science/Engineering, Computer Information Systems, or related coursework.
  • Minimum 3.0 GPA
  • Software development experience in Python, R, C#, Java , Visual Studio .NET, C++, or other AL/ML programming languages
  • Knowledge of TensorFlow or PyTorch, or other AI/ML platforms
  • Knowledge of data visualization in tools like PowerBI, Tableau, Orange, etc
  • Familiarity with AI/ML algorithms and statistical techniques in classification, prediction, etc
  • Familiarity with common AL/ML techniques in computer vision recognition, speech recognition, NLP, etc
  • Basic understanding of the following from previous work/classes/research and/or relevant previous jobs/internships:
    • Data models and reporting packages, analyze large datasets
    • Write comprehensive reports
    • Verbal and written communication skills
    • An analytical mind and inclination for problem-solving
    • Attention to detail and accuracy

 

PREFERRED QUALIFICATIONS

  • Knowledge of Machine Learning frameworks
  • Knowledge of DevOps and MLOps ( Machine Learning Ops)
  • Possess good blend of Technology and Process knowledge

 

BEHAVIORAL COMPETENCIES

  • Autonomy- Le vel 1 (Work is closely supervised with limited discretion)
  • Problem Solving- Level 2 (Solves a variety of easy problems of limited scope and complexity; refers to policies and practices for guidance)
  • Business Acumen- Level 1 (Very limited understanding of how the business works in terms of strategic perspective, financial acumen and market orientation; errors do not have any effect on the organization)
  • Accountability- Level 1 (Effectively plans ahead to meet commitments, prioritizes time/workload effectively to deliver quality results and efficiently manages workload)
  • Leadership- Level 1 (Organizes and leads the team; ensures day-to-day activities are smoothly performed. If not acting in a leadership role, demonstrates leadership some qualities.)"

 

TECHNICAL COMPETENCIES

  • Software development experience in Python, R, C#, Java , Visual Studio .NET, C++, or other AL/ML programming languages
  • Knowledge of TensorFlow or PyTorch, or other AI/ML platforms
  • Knowledge of data visualization in tools like PowerBI, Tableau, Orange, etc
  • Familiarity with AI/ML algorithms and statistical techniques in classification, prediction, etc
  • Familiarity with common AL/ML techniques in computer vision recognition, speech recognition, NLP, etc

 

PHYSICAL REQUIREMENTS / WORKING CONDITIONS

  • 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