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Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: ExxonMobil is a leading energy and chemical company focused on innovations that promote a net-zero future. The GenAI Data Scientist will lead the development and deployment of AI/ML solutions, particularly in Generative AI applications for subsurface operations, while collaborating with cross-functional teams to drive data-driven decision-making. Responsibilities: • Work on complex AI use cases from ideation and discovery through deployment and sustainment as part of integrated, enterprise-level teams. • Collaborate with ExxonMobil subject matter experts to strengthen organizational capabilities in AI/ML. • Support business teams in making impactful, data-driven decisions. • Lead the scoping, design, development, and deployment of AI/ML solutions, primarily focused on Generative AI applications for subsurface and well-related operations. • Collaborate with data and machine learning engineers to operationalize models and ensure seamless integration with existing digital infrastructure. • Build and deploy AI system components (such as chatbots, agents, and other workflow automation components) capable of interacting with diverse data sources and providing insightful information to users. • Develop and implement solutions involving orchestration of multiple AI agents to achieve complex tasks. • Apply domain knowledge and physical principles to improve model accuracy and reliability. • Contribute to the growth of internal AI capabilities by sharing expertise and developing best practices. • Provide technical mentorship and guidance to colleagues across teams. • Work closely with team leads and subject matter experts to align on project priorities, strategy, and solution design. • Optimize end to end AI solutions to enhance performance, usability, and cost • Work closely with business to understand business problem and translate that into mathematical framework. Also, work with business to help enhance business adaptability for the solution. • Validate AI system responses, including troubleshooting prompt engineering, agentic workflows and other aspects of a GenAI system. • Develop process and automation for accelerating validation of AI systems, while ensuring the proper degree of accuracy is maintained. Qualifications: Required: • Over 5 years of professional experience in developing and deploying AI/ML solutions, with a strong emphasis on Generative AI technologies and a solid background in applying these methods to physical systems and engineering workflows. • Deep expertise in natural language processing (NLP), large language models (LLMs), and building agentic workflows for Generative AI with the ability to understand underlying mathematics and develop novel algorithms. • Solid understanding of knowledge graphs, ontologies, and semantic technologies. • Solid foundation and experiences in AI/ML on data processing, probability and statistics, EDA, feature engineering, modeling strategy, model development, and explainable AI. • Proven track record of successfully developing and deploying multiple end-to-end Generative AI solutions, notably multi-agent systems, in business environments. • Proficient in Python and widely used ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. • Proficient in Generative AI frameworks such as Langchain, Promptflow, or Copilot Studio. • Proven ability to uncover meaningful insights from complex datasets. • Strong drive toward hands-on testing of hypotheses and rapid validation of assumptions through data. • Strong communication, collaboration, and problem-solving skills. • Advanced degree (Master’s or PhD) in Data Science, Computer Science, Engineering, or a related field. Preferred: • Experience in the energy industry, preferably with a focus on subsurface or well-related topics. • Experience in implementing hybrid search systems in conjunction with Large Language Models, e.g. Retrieval Augmented Generation (RAG) solutions. • Proficient in using the Databricks platform, Azure Open AI, Azure managed NLP services and OCR technologies. • Demonstrated ability to thrive in a collaborative Agile product team setting. Company: ExxonMobil is an international oil and gas company that provides energy that helps underpin growing economies. Founded in 1870, the company is headquartered in Irving, Texas, USA, with a team of 501-1000 employees. The company is currently Public Company. ExxonMobil has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
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Senior GenAI Data Scientist
role at
Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the
Senior GenAI Data Scientist
role at
Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: ExxonMobil is a leading energy and chemical company focused on innovations that promote a net-zero future. The GenAI Data Scientist will lead the development and deployment of AI/ML solutions, particularly in Generative AI applications for subsurface operations, while collaborating with cross-functional teams to drive data-driven decision-making. Responsibilities: • Work on complex AI use cases from ideation and discovery through deployment and sustainment as part of integrated, enterprise-level teams. • Collaborate with ExxonMobil subject matter experts to strengthen organizational capabilities in AI/ML. • Support business teams in making impactful, data-driven decisions. • Lead the scoping, design, development, and deployment of AI/ML solutions, primarily focused on Generative AI applications for subsurface and well-related operations. • Collaborate with data and machine learning engineers to operationalize models and ensure seamless integration with existing digital infrastructure. • Build and deploy AI system components (such as chatbots, agents, and other workflow automation components) capable of interacting with diverse data sources and providing insightful information to users. • Develop and implement solutions involving orchestration of multiple AI agents to achieve complex tasks. • Apply domain knowledge and physical principles to improve model accuracy and reliability. • Contribute to the growth of internal AI capabilities by sharing expertise and developing best practices. • Provide technical mentorship and guidance to colleagues across teams. • Work closely with team leads and subject matter experts to align on project priorities, strategy, and solution design. • Optimize end to end AI solutions to enhance performance, usability, and cost • Work closely with business to understand business problem and translate that into mathematical framework. Also, work with business to help enhance business adaptability for the solution. • Validate AI system responses, including troubleshooting prompt engineering, agentic workflows and other aspects of a GenAI system. • Develop process and automation for accelerating validation of AI systems, while ensuring the proper degree of accuracy is maintained. Qualifications: Required: • Over 5 years of professional experience in developing and deploying AI/ML solutions, with a strong emphasis on Generative AI technologies and a solid background in applying these methods to physical systems and engineering workflows. • Deep expertise in natural language processing (NLP), large language models (LLMs), and building agentic workflows for Generative AI with the ability to understand underlying mathematics and develop novel algorithms. • Solid understanding of knowledge graphs, ontologies, and semantic technologies. • Solid foundation and experiences in AI/ML on data processing, probability and statistics, EDA, feature engineering, modeling strategy, model development, and explainable AI. • Proven track record of successfully developing and deploying multiple end-to-end Generative AI solutions, notably multi-agent systems, in business environments. • Proficient in Python and widely used ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. • Proficient in Generative AI frameworks such as Langchain, Promptflow, or Copilot Studio. • Proven ability to uncover meaningful insights from complex datasets. • Strong drive toward hands-on testing of hypotheses and rapid validation of assumptions through data. • Strong communication, collaboration, and problem-solving skills. • Advanced degree (Master’s or PhD) in Data Science, Computer Science, Engineering, or a related field. Preferred: • Experience in the energy industry, preferably with a focus on subsurface or well-related topics. • Experience in implementing hybrid search systems in conjunction with Large Language Models, e.g. Retrieval Augmented Generation (RAG) solutions. • Proficient in using the Databricks platform, Azure Open AI, Azure managed NLP services and OCR technologies. • Demonstrated ability to thrive in a collaborative Agile product team setting. Company: ExxonMobil is an international oil and gas company that provides energy that helps underpin growing economies. Founded in 1870, the company is headquartered in Irving, Texas, USA, with a team of 501-1000 employees. The company is currently Public Company. ExxonMobil has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for “Data Scientist” roles.
Houston, TX $60,000.00-$70,000.00 3 weeks ago Software Engineer- $140,000-180,000 + bonus!
Houston, TX $140,000.00-$180,000.00 3 weeks ago Full-Stack Developer, Research & Development
Houston, TX $130,000.00-$160,000.00 1 week ago Houston, TX $90,000.00-$120,000.00 3 weeks ago Entry Level Software Engineer, application via RippleMatch
Houston, TX $60,000.00-$80,000.00 1 month ago Houston, TX $100,000.00-$130,000.00 1 week ago Houston, TX $78,100.00-$88,950.00 5 days ago Houston, TX $130,000.00-$160,000.00 6 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr