Pay
Higher than most similar jobs
$181K–$221K against $118K–$194K, the middle half of what similar US postings state.
From 3,757 postings in the last year. Stated ranges, not salaries paid.
Houston, TX, US, 77042
Live, first seen by us 39 days agoCompensation 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.Read the full posting
Candidates for regular US positions must be a US citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 US C
Frame desk problems with traders and analysts and turn findings into trading decisions
Lead data science work on forecasting, scenario analysis, optimization, and anomaly detection
Assess internal, external, and alternative data sources and build trusted data products
Turn desk analyses into reusable methods and tools that scale across teams
Deploy and monitor production models with engineering teams using MLOps workflows
Partner directly with traders, strategists, market analysts, and Commercial leaders to frame high-value problems
Lead end-to-end data science initiatives across forecasting, scenario analysis, optimization, anomaly detection, signal generation
Identify, assess, and enhance internal, external, and alternative data sources for quality, coverage, timeliness, and commercial relevance
Translate desk-specific analyses and solutions into reusable methods, modeling patterns, and tools
partner with data engineering, ML engineering, and software development teams on deployment, monitoring, CI/CD, MLflow
- 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
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
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Higher than most similar jobs
$181K–$221K against $118K–$194K, the middle half of what similar US postings state.
From 3,757 postings in the last year. Stated ranges, not salaries paid.
Day 39
Similar jobs usually come down between day 7 and day 57.
Well past Phillips 66’s usual: its jobs come down by about day 14.
From 10,589 similar postings that came down, and 21 of Phillips 66’s. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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
- 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.
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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
What You'll Bring – Required
What Makes You Stand Out – Preferred
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:
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 November 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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
Houston, TX, US, 77042
Working pattern and location restrictions need checking in the full posting.
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
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 November 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. Phillips 66 is an Equal Opportunity Employer