Phillips 66 is looking to fuel the future by leveraging data science to drive real-world impact across oil, power, renewables, and carbon markets.
Requirements
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Experience with Databricks, Spark, and Azure cloud services
- Familiarity with containerization (Docker) is a plus
- Expertise in exploring and extracting insights from large multi-source data sets
- Strong foundations in statistics, time series modeling, and econometrics
- Advanced coursework in math, statistics, and machine learning
- Experience in the energy or commodities trading industry, with knowledge of financial markets and trading concepts
Responsibilities
- Analyze large, complex datasets to uncover insights, patterns, and trends that drive business strategy and operational improvements
- Partner with trading desks, commercial teams, and IT ML Engineers to implement predictive analytics projects and deploy models using MLOps best practices (CI/CD, MLflow, monitoring) on Databricks-on-Azure tech stack
- Design, build, and integrate data science solutions into existing systems and platforms for seamless user experiences
- Perform complex statistical analysis, data mining, and visualization to enable data-driven decision-making
- Contribute to reporting strategies, translating analytical findings into actionable recommendations for stakeholders
- Share knowledge and build data science expertise within the business through mentoring and collaboration
- Actively participate in code reviews, experiment design, and tooling decisions to drive team quality and velocity
Other
- Master’s degree (or equivalent) in Computer Science, Data Science, Machine Learning, or a related field; Ph.D. is a plus
- 3+ years of industry experience developing and deploying machine learning models and advanced analytics solutions
- Strong problem-solving skills and ability to work independently and collaboratively
- Excellent communication skills, able to explain complex technical concepts to non-technical stakeholders
- Legally authorized to work in the posting country
