ConocoPhillips Data Scientist Interview Questions + Guide in 2025

ConocoPhillips is one of the world’s largest independent exploration and production companies, dedicated to safely delivering energy to the world while prioritizing innovation and excellence.

As a Data Scientist, you will play a critical role in advancing ConocoPhillips' data-driven initiatives, especially in the realm of AI and Generative AI. Your responsibilities will include engaging with leadership and subject matter experts to identify business needs, developing and implementing cutting-edge AI solutions, and applying advanced statistical techniques to extract valuable insights from complex datasets. You will leverage your strong foundation in machine learning, deep learning, and natural language processing to optimize operations, enhance safety, and improve decision-making processes across the organization. The ideal candidate will possess a collaborative spirit and a commitment to ConocoPhillips' SPIRIT values: safety, people, integrity, responsibility, innovation, and teamwork.

This guide will help you prepare for your interview by providing insights into the key competencies and expectations for the Data Scientist role at ConocoPhillips, equipping you with the knowledge to articulate your experience and demonstrate how you align with the company’s mission and values.

The interview process for a Data Scientist role at ConocoPhillips is structured to assess both technical expertise and cultural fit within the organization. It typically unfolds in several stages, each designed to evaluate different aspects of a candidate's qualifications and alignment with the company's values.

1. Initial Screening

The process begins with an initial screening, which is often conducted via a phone interview with a recruiter. This conversation focuses on your background, experience, and motivation for applying to ConocoPhillips. The recruiter will also gauge your understanding of the role and how your skills align with the company's needs, particularly in areas such as statistical techniques and machine learning.

2. Technical Interview

Following the initial screening, candidates usually participate in a technical interview. This may be conducted over video conferencing platforms and involves discussions around your technical skills, particularly in statistics, algorithms, and programming languages like Python. You may be asked to solve problems or discuss past projects that demonstrate your ability to apply advanced analytics and machine learning techniques to real-world scenarios.

3. Behavioral Interviews

Candidates who successfully pass the technical interview will typically move on to a series of behavioral interviews. These interviews are often conducted in-person and may involve multiple interviewers from different departments, such as Oil Sands and Information Technology. The focus here is on your past experiences, how you handle challenges, and your ability to work collaboratively within a team. Expect questions that explore your problem-solving skills, adaptability, and how you embody the SPIRIT values of ConocoPhillips.

4. Onsite Interview

For candidates who progress further, an onsite interview may be arranged. This stage often includes a campus tour and a more in-depth series of interviews with various team members. You will likely engage in discussions about your approach to data science, your understanding of AI and Generative AI solutions, and how you can contribute to the company's strategic initiatives. This is also an opportunity for you to assess the company culture and determine if it aligns with your values.

5. Final Assessment

The final assessment may involve a presentation or case study where you demonstrate your analytical skills and ability to communicate complex data-driven insights effectively. This stage is crucial as it allows you to showcase your technical knowledge while also illustrating your ability to convey findings to non-technical stakeholders.

As you prepare for your interviews, consider the types of questions that may arise in each of these stages, particularly those that relate to your technical expertise and past experiences.

Practice for the Conocophillips Data Scientist interview with these recently asked interview questions.