Lead Data Scientist Industrial AI & Prognostics
Job Location:
Monthly Salary:
Posted on:
Vacancies:
Job Summary
We are seeking an experienced Senior Data Scientist with expertise in Predictive Maintenance Prognostics and Health Management (PHM) and Industrial AI. You will develop advanced machine learning and AI solutions that improve equipment reliability predict failures before they occur optimize maintenance strategies and enhance operational performance across NOVs global products and services.
Responsibilities
Serve as an internal data science and AI expert providing technical leadership and consulting to NOV business units with a focus on Predictive Maintenance (PdM) Condition-Based Maintenance (CBM) and Prognostics & Health Management (PHM).
Design develop validate and deploy artificial intelligence and machine learning (AI/ML) and solutions for equipment health monitoring anomaly detection fault diagnosis Remaining Useful Life (RUL) prediction and maintenance optimization.
Develop predictive analytics solutions using operational engineering and sensor data to improve asset reliability operational efficiency and business performance.
Lead the end-to-end data science lifecycle including problem definition data exploration feature engineering model development validation deployment and performance monitoring.
Research and apply advanced AI technologies including deep learning computer vision Generative AI (GenAI) and Large Language Models (LLMs) to solve other complex engineering challenges.
Collaborate with engineers software developers product teams and subject matter experts to translate business needs into scalable production-ready AI solutions.
Design scalable analytics pipelines and contribute to cloud-based data science and MLOps platforms that support enterprise AI applications.
Communicate technical findings and recommendations to stakeholders and contribute to technical documentation publications patents and innovation initiatives.
Mentor junior team members and promote best practices in data science machine learning and AI across the organization.
Qualifications
You may be a good fit for our team if you also meet the following requirements:
Masters or Ph.D. in Computer Science Data Science Artificial Intelligence Engineering Applied Mathematics Statistics or a related STEM discipline. A Ph.D. is preferred.
710 years of experience developing and deploying AI/ML solutions in industrial or engineering environments.
Demonstrated experience in PdM/CBM/PHM or asset reliability applications.
Experience working with cross-functional engineering teams to deliver production-ready analytics solutions.
Strong foundation in machine learning deep learning statistical modeling and predictive analytics..
Experience developing models for time-series analysis anomaly detection fault diagnosis Remaining Useful Life (RUL) prediction or failure forecasting.
Experience with deep learning frameworks such as TensorFlow PyTorch or Keras.
Experience with computer vision natural language processing (NLP) Generative AI or Large Language Models (LLMs) is an advantage.
Experience working with industrial equipment sensor data or operational systems in manufacturing energy oil & gas or related industries.
Knowledge of digital signal processing (DSP) condition monitoring rotating machinery hydraulic systems or reliability engineering is highly desirable.
Ability to interpret Process & Instrumentation Diagrams (P&IDs) engineering drawings and system architectures to understand equipment configurations is a big plus.
Familiarity with Digital Twins physics-informed machine learning or engineering simulation is a plus.
Strong programming skills in Python and scientific computing libraries.
Proficiency in leveraging AI coding assistants to accelerate software development debugging testing and documentation while maintaining high standards of code quality.
Experience with PySpark SQL and big data processing frameworks is an advantage.
Familiarity with version control (Git) and software engineering best practices.
Experience deploying machine learning models on cloud platforms such as AWS or Azure.
Proficiency with Cloud Github and Docker is required while Databricks MLflow CI/CD or other MLOps technologies is preferred.
Proven ability to translate research into practical engineering solutions.
Experience authoring patents invention disclosures peer-reviewed publications or technical papers is a big plus.
Strong analytical and problem-solving skills with the ability to solve complex engineering challenges.
Excellent communication and stakeholder management skills with the ability to explain technical concepts to diverse audiences.
Self-motivated collaborative and capable of leading multiple projects in a dynamic environment.
Strong written and spoken English.
Required Experience:
Senior IC
About Company
Every day, the oil and gas industry’s best minds put more than 150 years of experience to work to help our customers achieve lasting success.We Power the Industry that Powers the WorldThroughout every region in the world and across every area of drilling and production, our family of ... View more
