Sr. Advisor III, Commercial Data Scientist

Phillips 66 & YOU - Together we can fuel the future

The Sr. Advisor III, Commercial Data Scientist serves as a high-autonomy technical subject matter expert for advanced analytics and machine learning across the Commercial organization. Operating as the senior technical partner to the Chief Data Scientist, the Commercial Data Scientist will independently own desk relationships, deliver high value work, and set the standard for the team as the founding hire for commercial data scientist capability embedded with the trading desks. The Commercial Data Scientist will partner directly with traders and market analysts, turn messy market and operational data into decision-quality signals, and establish the validated data products and production workflows that let the broader team scale.

The desks have concrete opportunities in ship tracking, supply and demand modeling, outage analytics, arbitrage, and scenario analysis, plus a cross-desk need to stop rebuilding the same work. Because no model is trustworthy without robust upstream data, this hire will both deliver high-value trading use cases and help build the data science operating model on governed, business-ready data.

What You'll Do

• Partner directly with traders, strategists, market analysts, and Commercial leaders to frame high-value problems, identify opportunities, and integrate validated analytical insights into business and trading decisions.
• Lead end-to-end data science initiatives across forecasting, scenario analysis, optimization, anomaly detection, signal generation, and other advanced analytics use cases.
• Identify, assess, and enhance internal, external, and alternative data sources for quality, coverage, timeliness, and commercial relevance; establish trusted, business-ready data products.
• Translate desk-specific analyses and solutions into reusable methods, modeling patterns, and tools that can scale across commodities, markets, and Commercial teams.
• Develop production-quality code and partner with data engineering, ML engineering, and software development teams on deployment, monitoring, CI/CD, MLflow, and durable MLOps workflows.
• Set technical direction and reusable foundations for the team, participate in tooling and architecture decisions, and mentor data scientists and other technical team members without relying on formal management authority.
• Communicate complex technical concepts, model results, uncertainty, and recommendations clearly to technical peers, commercial stakeholders, and senior leadership; develop or integrate analytical solutions into dashboards and existing platforms to improve decision speed.

What You'll Bring – Required

• Legally authorized to work in the United States
• Master’s degree or higher in Computer Science, Data Science, Machine Learning, Statistics, Applied Mathematics, Economics, Engineering, Physics, or a related quantitative field
• 6 or more years of industry experience developing and deploying advanced analytics and machine learning solutions, including a track record of independently owning ambiguous problems from hypothesis through business adoption
• Strong Python data science skills and production-quality coding experience
• Strong mathematical and statistical foundations, including inference, time-series modeling, econometrics, optimization, and rigorous model evaluation
• Demonstrated ability to extract insights from large, complex, multi-source datasets and translate analytical findings into actionable commercial recommendations
• Excellent communication and stakeholder management skills, with the ability to influence technical peers, commercial partners, and senior leaders

What Makes You Stand Out – Preferred

• PhD in Computer Science, Data Science, Machine Learning, Statistics, Applied Mathematics, Economics, Engineering, Physics, or a related quantitative field
• Experience in energy, commodities, trading, financial markets, or another decision-intensive commercial environment, with an understanding of price formation, market structure, and risk
• Depth in time-series analysis, forecasting, optimization, geospatial data, anomaly detection, or applied machine learning used in live business decisions
• Experience shaping shared research, modeling, or data-product infrastructure rather than delivering only one-off analyses
• Experience working across front office, risk, compliance, IT, Digital, and other cross-functional teams to deliver durable business outcomes

Compensation Range

This position has a base salary range of $180,900 - $221,100. This role is eligible to participate in the company’s commercial bonus program, offering the opportunity to earn additional compensation based on business and individual performance, in accordance with program guidelines.

At Phillips 66, we are committed to pay transparency and competitive, equitable compensation. Each role is assigned a salary grade with a defined pay range, benchmarked against industry peers. Where a candidate offer falls within the posted range depends on the candidate's experience, skills, and alignment with the role’s requirements. Offers are made to ensure internal equity and market competitiveness. Our compensation programs are designed to reward performance and support career growth.

The Commercial organization  works to effectively leverage assets and market knowledge to create additional value within the risk parameters of the Company. We do this by maximizing general interest profitability, enhancing return on capital employed by successfully partnering with the Refining, Transportation and Marketing functions to ensure Value Chain Integration.   Our truck and rail fleets support our feedstock and distribution operations.  Rail movements are provided via a fleet of more than 10,000 owned and leased rail cars. Truck movements are provided through numerous third-party trucking companies, as well as through our 100 percent-owned subsidiary, Sentinel Transportation LLC.

Total Rewards

At Phillips 66, providing access to high quality programs and care for you and your family is important to us. Maintaining a culture of well-being — physical, emotional, social, and financial — is essential for a high-performing organization. When we are at our best, we are poised to deliver exceptional results — personally and professionally. Benefits for certain eligible, full-time employees include:

• 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

Learn more about Phillips 66 Total Rewards.

Phillips 66 has more than 140 years of experience in providing the energy that enables people to dream bigger and go farther, faster. We are committed to improving lives, and that is our promise to our employees and our communities. We are sustained by the backgrounds and experiences of our diverse teams, which reflect who we are, the environment we create and how we work together. We have been recognized by the Human Rights Campaign, U.S. Department of Labor and the Military Times for our continued commitment to inclusive practices and policies in the hiring and retention of those in the LGBTQ+ community and military veterans. Our company is built on values of safety, honor and commitment. We call our cultural mindset Our Energy in Action, which we define through four simple, intuitive behaviors: We work for the greater good, cultivate an environment of trust, seek different perspectives and pursue excellence.

Learn more about Phillips 66 and how we are working to meet the world's energy needs today and tomorrow, by visiting phillips66.com. 

To be considered:

In order to be considered for this position you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature on or before the requisition closing date of October 13, 2026.

Candidates for regular U.S. positions must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 U.S.C. 1160(a) or 1255(a)(1).  Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.