Data Scientist
Data Scientist
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Salary Not Disclosed
1 Vacancy
Job Description
Job Summary
This Data Scientist position is located in the Drilling department and is responsible for analyzing complex datasets to extract valuable insights develop predictive models and provide datadriven recommendations to enhance drilling performance. The Data Scientist works closely with crossfunctional teams to support decisionmaking processes and drive continuous improvement in our operations. A significant focus will be on leveraging artificial intelligence (AI) and machine learning (ML) techniques to drive innovation and efficiency in drilling operations.
Duties and Responsibilities
Collect clean and preprocess large datasets from various sources including drilling sensors logs structured and unstructured databases.
Develop and implement advanced analytical models machine learning algorithms and statistical techniques to identify trends patterns and anomalies in drilling data.
Apply AI and ML techniques including models such as XGBoost Random Forest and Neural Networks to optimize drilling processes predict equipment failures and enhance safety measures.
Collaborate with drilling engineers geologists and other stakeholders to understand their data needs and provide actionable insights.
Design and build data visualizations and dashboards using tools such as Python charts (e.g. Matplotlib Seaborn) and JavaScript charts (e.g. ) to effectively communicate findings to technical and nontechnical audiences.
Conduct root cause analysis of drilling issues and propose datadriven solutions to mitigate risks and improve performance.
Work with realtime data using WITSML (Wellsite Information Transfer Standard Markup Language) and systems like Totco to enhance realtime monitoring and decisionmaking.
Leverage Databricks for big data processing analytics and collaboration.
Mentor and guide junior data scientists providing technical expertise and support in their professional development.
Document and present analytical methods models and results to ensure transparency and reproducibility.
Other duties as assigned.
Skills and Competencies
Strong proficiency in programming languages such as Python R and/or SQL.
Knowledge of machine learning algorithms statistical analysis and predictive modeling techniques.
Excellent problemsolving skills and attention to detail.
Strong communication and collaboration skills to work effectively with crossfunctional teams.
Leadership skills and experience in managing projects and mentoring team members.
Ability to work with largescale datasets and perform complex data analysis.
Proficiency in cloud computing platforms such as AWS.
Experience with data engineering and ETL processes.
Knowledge of geospatial analysis and GIS tools..
Required Qualifications
Minimum four 4 years experience within the Oil & Gas industry working as a Data Analyst Engineering Tech Engineering Specialist Business Analyst Systems Analyst Systems Analyst IT Analyst or related role
Technical proficiency in SQL Python or R.
An acceptable preemployment background and drug test
Preferred Qualifications
Previous experience as a Drilling Engineer
Bachelors or Masters degree from an accredited college or university in Data Analytics Computer Science Information Science/Management Mathematics or related degree
Experience with AI techniques such as natural language processing computer vision or deep learning
Familiarity with drilling operations geology and reservoir engineering
Experience with realtime data using WITSML and systems like Totco
Experience with Databricks for big data processing and analytics
Experience with advanced data tools like Alteryx Intelligence Suite and others.
Physical Requirements and Working Conditions
Requires prolonged sitting some bending and stooping.
Occasional lifting up to 25 pounds.
Manual dexterity sufficient to operate a computer keyboard and calculator.
Continental Resources Inc. provides equal employment and affirmative action opportunities to applicants and employees without regard to race color religion sex (including pregnancy childbirth or related medical conditions) age sexual orientation gender identity national origin protected veteran status or disability.
Employment Type
Full-Time
