Commercial Data Scientist

Phillips 66 • Houston, TX

49d

About The Position

Join a global leader in the energy sector, where data science drives real-world impact across oil, power, renewables, and carbon markets. You’ll be embedded in a collaborative, entrepreneurial environment, working alongside experienced data scientists, software engineers, and commercial teams. Expect to tackle complex, high-impact problems, contribute to the energy transition, and see your work influence business decisions at scale.

Requirements

• 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
• 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 problem-solving skills and ability to work independently and collaboratively
• Strong foundations in statistics, time series modeling, and econometrics
• Excellent communication skills, able to explain complex technical concepts to non-technical stakeholders
• Advanced coursework in math, statistics, and machine learning
• Demonstrable attention to detail and commitment to quality
• Legally authorized to work in the posting country

Nice To Haves

• Thrives in ambiguous, high-volume data environments, accurately defining key elements and encouraging innovative analysis.
• Creates new and better ways for the organization to succeed, offering original ideas and enhancing others’ creative solutions.
• See’s ahead to future possibilities, translating trends and insights into breakthrough strategies for the business.
• Experience in the energy or commodities trading industry, with knowledge of financial markets and trading concepts
• Proven ability to integrate machine learning systems into interactive dashboards (e.g., Dash, Streamlit) and present use cases to non-technical colleagues
• Resourceful, adaptable, and motivated to make an impact in a dynamic, fast-growing team

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

Benefits

• Annual Variable Cash Incentive Program (VCIP) bonus
• 8% 401k company match
• Cash Balance Account pension
• Medical, Dental, and Vision benefits with an annual company contribution to a Health Savings Account for employees on HDHP
• Total well-being programs and incentives, including Employee Assistance Plan, well-being reimbursement, and backup family care services

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees