We are looking for a mid-level Data Scientist who thrives on solving hard problems with Scikit-learn and Airflow. The bargain is plain — your 3 years and Matplotlib for $75,000 - $112,000, plus a technology team that hands over the reins.
Key Responsibilities
- Spot the clarity-seeking NumPy anti-pattern in review before it spreads through ConocoPhillips
- Build Airflow self-service tools so Charlotte teams stop filing tickets for everything
- Profile Excel memory use and chase down the leaks crashing Charlotte nodes
- Land Scikit-learn performance wins ConocoPhillips can measure in NC retention numbers
- Drive the Matplotlib incident postmortem that stops the Charlotte outage from recurring
- Drive adoption of best practices in testing, security, and observability
What You'll Bring
- Real proficiency with Excel, plus willingness to learn Professionalism fast
- Real curiosity about why ConocoPhillips customers do what they do
- A collaborator's reflex to share credit and absorb blame
- A learner's pace that keeps up with shifting requirements
- Comfortable presenting ideas to stakeholders at every level
- Bachelor's degree in a related field, or equivalent practical experience
- Hands-on command of Excel, with Seaborn as a close second
What sets ConocoPhillips apart is an entrepreneurial team in Charlotte that treats every customer like a partner. Burnout is treated as a system bug at ConocoPhillips, not a badge of data-driven honor.
On top of $75,000 - $112,000, we cover your health premiums, fund your certifications, and pair you with a seasoned mentor.
This role is being actively staffed, with offers expected before the quarter closes.
The next chapter of your career is one application away.