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Senior Advisor III, Commercial Data Scientist

Pay
$180,900–221,100/year · BaseAnnual period assumed — pay source
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.
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Work setting
Not stated
Employment
Not stated

Before you apply

Work authorization
US citizens or permanent residents onlyCandidates 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

What you’ll work on

Full posting
  • 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

From the employer’s posting
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
Education & alternatives
- 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
Apply at Phillips 66

Posting record

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Status in our records
Live
First seen by us
Sep 30, 202639 days ago
Recorded sightings
69
Last seen by us
Nov 8, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

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 10,595 similar postings that came down, and 21 of Phillips 66’s. Coming down is not always a hire.

Phillips 66 is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

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.

  • Python
  • MLflow
Where the posting names them
- 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.

Your next step

Complete your application on careers.phillips66.com. The employer’s form will show what is required.

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About Phillips 66

People
About 12,600 in 2025, down 5% from the year before.Annual report (SEC Form 10-K)
Company
Listed as PSX.
H-1B visas
4 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices
Notices this year and last cover 182 people. The latest was filed April 10, 2026.State WARN notices

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,803.
August 17Last week

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.

About the role

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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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 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
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Pay
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.
Location & working pattern

Houston, TX, US, 77042

Working pattern and location restrictions need checking in the full posting.

Work authorization
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
More source context
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

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