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Company Profile:
CNPC USA is a subsidiary of China National Petroleum Company and serves as the North American headquarters. Our goal is to provide innovation, research, and development of innovative technologies for Oil and Gas Exploration and Production.
Job Summary:
CNPC USA is actively seeking creative, innovative, best-in-class experts to join our growing team. This is a unique opportunity for a Data Scientist with extensive experience in data analytics and machine learning. The Data Scientist will focus on creating and implementing machine learning models that are based on big data, specifically designed to address challenges in the drilling and completion operations. This position reports directly to the Lead of Data Science.
Responsibilities:
Key Skills:
Qualifications:
Work Environment
This job operates in an office environment. Secondary responsibilities of the role may require the use of standard lab equipment such as a tensile testing frame.
Physical Demands:
The physical demands described here are representative of those that must be met to perform the essential job functions successfully.
Performing duties of this job is regularly required to stand and walk; reach and pull with hands and arms, and lift up to 50 lbs. The vision requirements include close vision, peripheral vision, and the ability to adjust focus. This job also requires the ability to read and understand ideas in writing as well as oral and written communication.
Travel:
This position may require international and domestic travel. Travel between all CNPC USA locations and testing facilities is required.
Supervisory Responsibility:
This position has no supervisory responsibilities.
CNPC USA is an Equal Opportunity Employer (EOE). Qualified applicants are considered regardless of race, color, age, sex, sexual orientation, religion, disability, ethnicity, national origin, marital status, veteran status, or any other legally protected status.
Disclaimer: The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.
No Agencies Please : Please do not contact.
NOTE: We do not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes.
Full Time
$107k-132k (estimate)
04/28/2024
05/11/2024
cnpc-usa.com
HOUSTON, TX
<25
2011
GORDON ZHANG
$10M - $50M
Energy
China National Petroleum Corporation (CNPC) is an integrated international energy company. Headquartered in Beijing, we have oil and gas assets and interests in 38 countries and operations in 75 countries including Africa, Central Asia-Russia, the Americas, the Middle East, Asia-Pacific, and other regions. Our products and services are an intricate part of the world oil and gas industry. CNPC USA Corporation is a subsidiary of CNPC. We are an American company founded four years ago to serve as a bridge between North America and CNPC worldwide operations. We have made a significant financial in...vestment, created jobs and supported the local economy. CNPC USA Corporation strives to be a socially responsible global citizen. We work diligently every day to build a diverse and sustainable organization; an organization that holds itself accountable for meeting and exceeding the expectations of our customers, partners, employees and neighbors.
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The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
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Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
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Data scientists lay a solid foundation to help perform all kinds of analysis.
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Business analysts are focused on reporting, just like data analysts.
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Step 3: View the best colleges and universities for Data Scientist.