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Data Scientist

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ExxonMobil

1mo ago

  • Job
    Full-time
    Senior Level
  • Software Engineering
    Engineering
  • Houston

AI generated summary

  • You must have strong AI/ML experience, expertise in LLMs and NLP, skills in chatbots and multi-agent systems, knowledge of Azure OpenAI, and a relevant advanced degree, preferably in energy.
  • You will design, develop, and deploy AI/ML solutions, integrate models, build chatbots, and mentor team members while collaborating on complex projects and driving impactful business decisions.

Requirements

  • Extensive experience in building and deploying AI/ML solutions, with a strong emphasis on Generative AI.
  • Deep understanding of Large Language Models (LLMs) and their applications.
  • Expertise in Natural Language Processing (NLP), including both traditional and advanced techniques.
  • Proven ability to develop and deploy chatbots that interact with data sources.
  • Experience with agent orchestration and building multi-agent systems.
  • Solid understanding of knowledge graphs, ontologies, and semantic technologies.
  • Hands-on experience with Azure OpenAI, Databricks, Azure managed NLP services, and OCR technologies.
  • Proficiency in building simple user interfaces and RAG-based architectures.
  • Excellent communication, collaboration, and problem-solving skills.
  • PhD or Masters of Science in Computer Science, Electrical Engineering, Statistics or related field with expertise in language modeling.
  • Experience in the energy industry or Sales and Marketing domain.

Responsibilities

  • Lead the design, development, and deployment of AI/ML solutions, primarily focused on Generative AI applications for Sales and Marketing use cases.
  • Operationalize AI/ML models, ensuring seamless integration with existing systems and workflows.
  • Build and deploy chatbots 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.
  • Contribute to the advising on choice of, development and maintenance of knowledge graphs and ontologies to enhance AI capabilities.
  • Design and implement simple user interfaces for AI/ML applications.
  • Build and deploy Retrieval Augmented Generation (RAG) based architectures for information retrieval and knowledge integration.
  • Provide technical guidance and mentorship to ExxonMobil team members.
  • Collaborate effectively with the ExxonMobil team lead to align on project priorities, strategy, and design.
  • Work on complex AI use cases from ideation and discovery to deployment and sustainment as part of an integrated enterprise level teams.
  • Work with principal data scientists to enrich the organizational capability in GenAI area.
  • Provide consultancy and technical assistance to main business teams to drive impactful decisions.

FAQs

What is the main focus of the Data Scientist role at ExxonMobil?

The main focus is to lead the design, development, and deployment of AI/ML solutions, particularly Generative AI applications for Sales and Marketing use cases.

What kind of projects will I be working on in this role?

You will work on complex AI use cases from ideation and discovery to deployment and sustainment as part of integrated enterprise-level teams.

What qualifications do I need to apply for this position?

A PhD or Master's of Science in Computer Science, Electrical Engineering, Statistics, or a related field with expertise in language modeling is required.

Are there opportunities for mentorship in this position?

Yes, the role includes providing technical guidance and mentorship to ExxonMobil team members.

Do I need experience in the energy industry to apply for this job?

While experience in the energy industry or Sales and Marketing domain is preferred, it is not a strict requirement.

Will I be involved in building chatbots in this role?

Yes, building and deploying chatbots that interact with data sources is one of the responsibilities of the position.

How does ExxonMobil support employee well-being?

ExxonMobil offers a Culture of Health with programs and resources to support well-being, including a confidential Employee Health Advisory Program.

What type of experience is preferred for this role?

Preference is given to candidates with experience in building and deploying AI/ML solutions, particularly focusing on Generative AI and Natural Language Processing.

Is there potential for career growth within the company?

Yes, ExxonMobil is committed to employee growth both personally and professionally, offering various development and mentorship opportunities.

Where is the ExxonMobil campus located?

The ExxonMobil campus is located in Spring, Texas, approximately 25 miles from downtown Houston.

What kind of benefits does ExxonMobil offer to employees?

ExxonMobil offers a comprehensive benefits package including a pension plan, savings plan, medical, dental, and vision plans, workplace flexibility, and more.

Will I have the opportunity to collaborate with other teams?

Yes, collaboration with the ExxonMobil team lead and other teams is essential to align on project priorities, strategy, and design.

Are there any specific AI technologies that I should be familiar with for this role?

Familiarity with Azure OpenAI, Databricks, Azure managed NLP services, and OCR technologies is required.

What technical skills are necessary for this position?

Necessary skills include expertise in Natural Language Processing, knowledge graphs, and the ability to develop and deploy AI/ML solutions.

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ExxonMobil

Energy
Industry
10,001+
Employees
1882
Founded Year

Mission & Purpose

The need for energy is universal. That's why ExxonMobil scientists and engineers are pioneering new research and pursuing new technologies to reduce emissions while creating more efficient fuels. We're committed to responsibly meeting the world's energy needs. We aim to achieve #netzero emissions from our operated assets by 2050 (for Scope 1 and 2 greenhouse gas emissions) and are taking a comprehensive approach to create emission-reduction roadmaps for major operated assets.

Culture & Values

  • Shareholders

    We are committed to enhancing the long-term value of the investment dollars entrusted to us by our shareholders. By running the business profitably and responsibly, we expect our shareholders to be rewarded with superior returns. This commitment drives the management of our Corporation.

  • Customers

    Success depends on our ability to consistently satisfy ever-changing customer preferences. We commit to being innovative and responsive, while offering high-quality products and services at competitive prices.

  • Employees

    The exceptional quality of our workforce provides a valuable competitive edge. To build on this advantage, we will strive to hire and retain the most qualified people available and to maximize their opportunities for success through training and development. We are committed to maintaining a safe work environment enriched by diversity and characterized by open communication, trust, and fair treatment.

  • Communities

    We commit to being a good corporate citizen in all the places we operate worldwide. We will maintain high ethical standards, obey all applicable laws, rules, and regulations, and respect local and national cultures. Above all other objectives, we are dedicated to running safe and environmentally responsible operations. Exxon Mobil Corporation aspires to be at the leading edge of competition in every aspect of our business. That requires the Corporation's resources — financial, operational, technological, and human — to be employed wisely and evaluated regularly. While we maintain flexibility to adapt to changing conditions, the nature of our business requires a focused, long-term approach. We will consistently strive to improve efficiency and productivity through learning, sharing, and implementing best practices. We will be disciplined and selective in evaluating the range of capital investment opportunities available to us. We will seek to develop proprietary technologies that provide a competitive edge. We aspire to achieve our goals by flawlessly executing our business plans and by adhering to these guiding principles and the foundation policies that follow.

Benefits

  • Work-life balance

    Flexibility is key to the way we do business. We support intermittent individual flexibility for employees to adjust when and where they work, as well as paid time off and leave of absence to optimize life and work.

  • Long-term security

    We provide financial protection for you and your family. Offerings such as life insurance and disability leave ensure income stability during difficult times.