Staff Data Scientist

Full time

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Employment Information

Job levelSenior level

IndustryOil and Gas

Experience7+ years

LocationHouston, TX, United States

Welcome to ConocoPhillips, where innovation and excellence create a platform for opportunity and growth. Come realize your full potential here.

Who We Are

We are one of the world’s largest independent exploration and production companies, based on proved reserves and production of liquids and natural gas. With operations and activities in 13 countries, we explore for, develop, and produce crude oil and natural gas globally. We are challenged with an important job to safely find and deliver energy to the world. Our employees are critical to our success, and with them we power civilization.

We’re grounded by our SPIRIT Values – safety, people, integrity, responsibility, innovation, and teamwork. These values position us to deliver strong performance in a dynamic business – but not at all costs. We believe it’s not just what we do – it’s how we do it – that sets us apart.

We strive to make a significant difference in the communities where we live and operate. We create an inclusive environment that values all voices and opinions. Together, the different backgrounds, experiences, ideas, and perspectives of our employees drive our success.

Job Summary

Description

Are you passionate about harnessing the power of data to drive innovation and transform businesses? Do you have a deep understanding of machine learning, deep learning, and Generative AI models? If so, we have an exciting opportunity for you to join our dynamic team!

As a Data Scientist working on AI and Generative AI (Gen AI) solutions, you will be at the forefront of our data-driven initiatives, working closely with leadership teams to evaluate, frame, prioritize, and develop cutting-edge analytical solutions. Your strong expertise in statistical techniques, deep learning, artificial intelligence, and Gen AI will be pivotal in unlocking the full potential of our data. You will be responsible for applying advanced analytics to extract valuable insights from data in order to optimize operations, improve safety, and enhance decision-making processes to achieve transformational changes within ConocoPhillips.

Job Description

Your responsibilities may include:

Engage leadership and/or subject matter experts to understand business needs and find opportunities to apply ML, AI including Gen AI methods to solve business problems
Develop and implement cutting-edge AI solutions using natural language processing (NLP), deep learning, large language models (LLM), and Gen AI.
Develop prototypes and proof-of-concept projects to demonstrate the potential of Gen AI applications
Leverage your deep knowledge of Gen AI to influence strategic initiatives and drive the adoption of innovative technologies across the organization.
Adopt, improve, and champion the advanced analytics assurance process to BUs and Functions to support Responsible AI strategies
Partner with data service teams in continuous improvement efforts, improving data quality and data access across the company
Collaborate with data engineers and business analysts, to integrate AI solutions into operational processes and products
Communicate findings to cross-functional teams and senior management through data visualization and reports, ensuring that data-driven insights lead to informed decision-making
Provide guidance and mentorship to data scientists and data analysts, fostering the growth of data science capabilities within the organization
Deliver training, knowledge sharing and participate in communicating the value of advanced analytics with a growing community of practitioners
Keep abreast of industry-specific developments and stay up to date with the latest advancements and techniques in data science, ML, AI and Gen AI, applying this knowledge to improve existing processes and drive innovation

Basic/Required:

Must be legally authorized to work in the United States on a full-time basis for anyone other than current employer
Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, Machine Learning, Artificial Intelligence, Cognitive Science or other quantitative fields or foreign equivalent
5+ years of experience in applying data preparation, exploration, and visualization techniques
5+ years of working experience in using statistics and analytical techniques in scientific experimentation
5+ years in creating ML/AI models using Python and associated libraries to solve business problems
3+ years of experience in using visualization tools such as Streamlit, Spotfire, or MS PowerBI
1+ years of practical experience in applying open-source or close-source LLMs to developing business solutions by utilizing Gen AI techniques such as Prompt Engineering, Retrieval-augmented Generation (RAG), Text2SQL, Fine-tuning, etc.
Intermediate proficiency with NLP techniques such as Topic Modeling, Semantic Analysis
Intermediate proficiency with deep learning algorithms, models and architectures such as Reinforcement Learning, Generative Adversarial Network (GAN), and Transformer
Willing and able (with or without reasonable accommodation) to travel 10% of the time on a yearly basis

Preferred:

Master’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, Machine Learning, Artificial Intelligence, Cognitive Science or other quantitative fields or foreign equivalent
7+ years of experience with data preprocessing, feature engineering, and model evaluation
7+ years of working experience in using statistics, analytical techniques in scientific experimentation
7+ years of experience in creating ML/AI models using Python and associated libraries to solve business problems
5+ years of experience with visualization tools such as Streamlit, SpotFire, or MS PowerBI
3+ years of experience in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras)
3+ years of practical experience in applying open-source or close-source LLMs to developing business solutions by utilizing Gen AI techniques such as Prompt Engineering, RAG, Text2SQL, Fine-tuning, etc.
Strong understanding and related working experience with NLP techniques such as Topic modeling, Semantic Analysis
Strong understanding and practical experience with deep learning algorithms, model and architectures such as Reinforcement Learning, GAN and Transformer
Intermediate proficiency with MLOps such as CI/CD pipelines, model deployment, and monitoring
Intermediate proficiency with cloud platforms (e.g., AWS, Google Cloud, Azure) and big data technologies (e.g., Snowflake, Spark, Kafka)
Excellent problem-solving skills and the ability to work with complex datasets
Strong verbal and written communication skills, with the ability to convey technical concepts to non-technical audiences
Ability to work effectively in a collaborative team environment
Ability to analyze stakeholder needs, global, political, and market trends, and understand how they shape and impact our business results.
Listens and invites dialogue to gain a shared understanding and influences with confidence to drive performance and achieve business results.
Excellent social, organizational, and analytical skills
Ability to articulate potential value of analytic solutions
Able to establish relationships with stakeholders
Able to seek opportunities to collaborate and achieve business goals
Inspires continuous improvement and innovative thinking
Ability to be sensitive to the potential business and personal impact from adoption of machine learning and AI
Takes ownership of actions and follows through on commitments by holding others accountable and standing up for what is right
Delivers positive results through realistic planning to accomplish goals
Builds effective solutions based on available information and makes timely decisions that are safe and ethical

Sponsorship:

ConocoPhillips’ sponsorship for employment authorization in the U.S. is NOT available for this position.

EEO:

In the US, ConocoPhillips is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, gender identity or expression, genetic information, or any other legally protected status.

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