Future Talent Pipeline - Commercial Data Scientist
Phillips 66
On-site
Advanced proficiency in python and ml frameworks
Experience with databricks, spark, and azure cloud
Deploy models using mlops best practices
The Commercial Data Scientist role involves working in a collaborative, entrepreneurial environment alongside experienced data scientists, software engineers, and commercial teams
Job Summary
The Commercial Data Scientist role involves working in a collaborative, entrepreneurial environment alongside experienced data scientists, software engineers, and commercial teams.
You will tackle complex, high-impact problems that contribute to the energy transition and influence business decisions at scale.
The position encourages mentoring, knowledge sharing, and active participation in code reviews and tooling decisions to enhance team quality and velocity.
Matching Summary
The Commercial Data Scientist role involves working in a collaborative, entrepreneurial environment alongside experienced data scientists, software engineers, and commercial teams.
Skills & Requirements
Must-have
Advanced proficiency in Python and ML frameworks
Experience with Databricks, Spark, and Azure cloud
Deploy models using MLOps best practices
Analyze large, complex datasets
Collaborate with commercial and IT teams
Nice-to-have
Experience in energy or commodities trading industry
Integrate ML systems into interactive dashboards
Thrives in ambiguous, high-volume data environments
Strong problem-solving and independent work skills
Excellent communication to non-technical stakeholders
Resourceful and adaptable in dynamic teams
Key Requirements
Bachelors degree in Computer Science or related field
3+ years industry experience in ML model development and deployment