Sr. Advisor III, Commercial Data Scientist
About The Position
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. As the founding hire for commercial data science capability embedded with trading desks, this role acts as a senior technical partner to the Chief Data Scientist, independently owns desk relationships, delivers high-value work, and sets technical standards for the team. The position partners directly with traders and market analysts to turn complex market and operational data into decision-quality signals and to establish validated data products and production workflows. Opportunities include ship tracking, supply and demand modeling, outage analytics, arbitrage, and scenario analysis, as well as building reusable solutions across desks. The role combines delivery of high-value trading use cases with development of a data science operating model based on governed, business-ready data. The Commercial organization leverages company assets and market knowledge to create value within company risk parameters, maximizing profitability and return on capital through collaboration with Refining, Transportation, and Marketing. The position is based in the United States; a specific workplace type is not stated.
Requirements
- Legally authorized to work in the United States; candidates for regular U.S. positions must meet the stated citizenship or immigration eligibility requirements and must not require current or future work-authorization sponsorship.
- Master’s degree or higher in Computer Science, Data Science, Machine Learning, Statistics, Applied Mathematics, Economics, Engineering, Physics, or a related quantitative field.
- At least 6 years of industry experience developing and deploying advanced analytics and machine learning solutions.
- 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.
- Complete the entire application process, including prescreening questions and eSignature, by the requisition closing date of November 4, 2026.
Nice To Haves
- 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 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.
Responsibilities
- Partner 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 involving forecasting, scenario analysis, optimization, anomaly detection, signal generation, and other advanced analytics.
- Identify, assess, and improve 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 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 formal management authority.
- Communicate technical concepts, model results, uncertainty, and recommendations to technical peers, commercial stakeholders, and senior leadership.
- Develop or integrate analytical solutions into dashboards and existing platforms to improve decision speed.
Benefits
- Annual Variable Cash Incentive Program bonus, with additional compensation based on business and individual performance under program guidelines.
- 8% 401(k) company match.
- Cash Balance Account pension.
- Medical, dental, and vision benefits, with an annual company contribution to a Health Savings Account for employees enrolled in an HDHP.
- Total well-being programs and incentives, including an Employee Assistance Plan, well-being reimbursement, and backup family care services.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
