Data Scientist

Noble Drilling Services • Houston, TX

416d

About The Position

Noble Corporation is seeking a skilled and motivated Data Scientist to join their team in Houston, TX. The role involves developing data science products and leveraging expertise in machine learning, generative AI, and cloud computing. The Data Scientist will collaborate with cross-functional teams to identify opportunities, solve complex problems, and drive data-centric decision-making, focusing on operational and sensor data analysis and visualization.

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• A minimum of 3 years' experience developing data science products, with a proven track record of delivering successful projects.
• Strong knowledge of various machine learning technologies and the ability to select and implement appropriate techniques for specific tasks.
• Proficiency using programming languages such as Python, R, or Scala, and using languages for database creation and manipulation such as SQL, MySQL, or KQL.
• Proficiency in cloud compute platforms, preferably Azure, and the ability to leverage their capabilities effectively.
• Experience in analyzing and visualizing sensor data, particularly long time series data.
• Demonstrated ability to manage stakeholders effectively and communicate complex concepts to nontechnical audiences.
• Strong problem-solving skills and the ability to work on complex, multidisciplinary projects.
• Familiarity with CI/CD processes and a desire to implement efficient and iterative development practices.
• Experience with containerized applications, such as Docker, and knowledge of deployment processes.

Responsibilities

• Collect, cleanse, and preprocess raw data from different sources to deliver accurate and consistent datasets for analysis.
• Design and implement scalable and efficient data science solutions using machine learning and generative AI technologies in cloud compute platforms.
• Develop and engineer relevant features to improve the performance and predictive accuracy of regression and classification models.
• Analyze data and identify trends, patterns, and relationships using statistical techniques such as descriptive and inferential statistics, analysis of variance, and time series analysis.
• Build on the existing portfolio and contribute to the growth and improvement of data science offerings.
• Effectively manage stakeholders, understanding their requirements and translating them into data-driven solutions.
• Produce charts, reports, and sensor data, with a particular focus on time series data.
• Apply skills as both a data scientist and a data engineer, building solutions with operational data as the primary focus.
• Stay current with industry trends and continuously enhance technical skills and knowledge.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Support Activities for Mining
• Education Level: Bachelor's degree