Job Details
Your Responsibilities:
You will develop data science solutions for challenging engineering and business problems within NOV.
You will have the opportunity to develop data driven predictive models that will lay the foundation for our Predictive Maintenance, Condition Based Maintenance, and Optimized Operations.
You also have opportunities to research and develop applications in applied artificial intelligence using computer vision, natural language processing (NLP) and large language models (LLM).
Working with Big Data infrastructure, Engineering, and Operations, you will develop a scalable and sustainable analytics process.
Your Data Science responsibilities will include understanding project needs, data science framing, performing exploratory data analysis (EDA), building, and validating models, and deploying models into production.
You will engage in knowledge management and effective solution delivery.
You will assess risk, benefit, and cost of pre-existing and suggested engineering practices.
Your Qualifications:
Are you a motivated self-starter with the dedication to work independently and as part of a team, and an ability to multi-task? Do you have the flexibility and adaptability, to make decisions quickly? Do you thrive in dynamic environments with multiple changing priorities, where prioritization and time management are necessary tools? You may be a good fit for our team, if you also meet the following requirements:
You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
Your strong academic qualifications include an advanced degree (master s or Ph.D.) in a relevant STEM field (Computer Science, Engineering, Mathematics, Statistics, etc.); preferably a PhD.
Programming experience with Python is a must, and additional programming experience with PySpark, MATLAB, Java, C#, or R is a plus.
Modeling experience with core data science packages (Pandas, Scikit-learn, Keras, TensorFlow, PyTorch, etc.)
Modeling experience with traditional machine learning and deep learning techniques (CNN, RNNs, LSTMs, GANs, Transformers, etc.)
Experience with signal processing on industrial equipment (rotating machinery, reciprocating machinery, hydraulic systems), data driven reliability, and operation efficiency is a plus.
Having experience with computer vision, natural language processing (NLP) or large language model (LLM) is a plus.
Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus.
You have a proven history of conducting research and producing viable solutions for engineering problems.
You are skilled in problem analysis and resolution, impact verification, troubleshooting, coaching, facilitation experience, and diagnosing problems across multiple disciplines.
You excel in organizational and analytical skills; you re able to focus and deliver precise results, yet understand impacts across multiple projects and systems.
You communicate proficiently in English and have good interpersonal skills, with the ability to build trust and integrity in your relationships with our business partners.
Please apply for the position
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