Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Staff Data Scientist
Newton Office
Live, first seen by us 75 days ago- Pay
$160,500–240,800/yearAnnual period assumed. Location-specific pay — pay source
Pay Range: $160,500.00 - $240,800.00 The pay range for this position is outlined above. The final amount offered at the start of employment is determined based on factors including, but not limited to, experience level, knowledge, skills, abilities and geographic location, and the Company reserves the right to modify base salary at any time, including for reasons related to individual performance, Company or individual department/team performance and market factors.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingOwn demand and price response modeling from problem framing through production
Deliver probabilistic forecasts at daily and intraday resolution for pricing and planning
Design and analyze pricing field experiments, including power analysis and site selection
Build and deploy agentic and large language model automation for analytical workflows
Establish observability for production models and agents: data quality, drift, cost, alerting
From the employer’s posting
Own demand and price response modeling end to end, from problem framing through production.
Deliver probabilistic forecasts at daily and intraday resolution for pricing and planning use.
Design and analyze pricing field experiments, including power analysis and site selection.
Build and deploy agentic and large language model automation for analytical workflows.
Establish observability for models and agents in production, covering data quality, drift, cost, and alerting.
Education & alternatives
Additional Job Description: - Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or related quantitative field required; PhD/Master's degree in Machine Learning, AI, or related discipline preferred. - 7+ years of industry data science or machine learning experience, including ownership of production models.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 21, 202675 days ago
- Recorded sightings
- 75
- Last seen by us
- Nov 4, 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
Time since we first saw it
Day 75
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 10,053 similar postings that came down. Coming down is not always a hire.
Global Partners LP is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
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
- SQL
- AWS
- dbt
- SageMaker
- Snowflake
- Tableau
- Dagster
- Streamlit
Where the posting names them
- Experience evaluating AI systems using harnesses and benchmarks. - Expert level Python and SQL, with Git, code review, automated testing, and continuous integration. - Experience with a cloud machine learning platform, AWS SageMaker preferred, including model registry, monitoring, and alerting.
- Expert level Python and SQL, with Git, code review, automated testing, and continuous integration. - Experience with a cloud machine learning platform, AWS SageMaker preferred, including model registry, monitoring, and alerting. - Experience with a cloud data warehouse, Snowflake preferred, and with transformation and orchestration tooling such as dbt and Dagster.
- Experience with a cloud machine learning platform, AWS SageMaker preferred, including model registry, monitoring, and alerting. - Experience with a cloud data warehouse, Snowflake preferred, and with transformation and orchestration tooling such as dbt and Dagster. - Experience delivering results through BI and application tooling such as Tableau and Streamlit.
- Experience with a cloud data warehouse, Snowflake preferred, and with transformation and orchestration tooling such as dbt and Dagster. - Experience delivering results through BI and application tooling such as Tableau and Streamlit. - Experience raising technical quality through specification, design review, and mentoring.
Your next step
Complete your application on global.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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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
Job Summary:
Global Partners is hiring a Staff Data Scientist to be the senior technical individual contributor for pricing and demand science and applied AI in the Central Data and Analytics Organization. Pricing decisions are made every day across our fuel and convenience store business, and this role builds the models, the experiments, and the AI systems that inform them.The core of the role is demand and price response modeling at scale, delivered as probabilistic forecasts that pricing teams and downstream applications use. You will own the modeling approach, the evaluation that decides whether a model is ready for production, and the path from forecasting toward automated pricing decisions.
Measurement is the other half of the role. You will design and analyze pricing field experiments that establish how demand responds to price, and present the results and their limits to leadership and business stakeholders.
You will also raise the technical standard of the team: defining how AI and agentic systems are evaluated, setting orchestration and observability practices for production workloads, reviewing designs on work delivered by others, and mentoring other data scientists.
At Global Partners, business starts with people. Since 1933, we’ve believed in taking care of our customers, our guests, our communities, and each other—and that belief continues to guide us.
The Global Spirit is how we work to fuel that long term commitment to success. As a Fortune 500 company with 90+ years of experience, we’re proud to fuel communities—responsibly and sustainably. We show up every day with grit, passion, and purpose—anticipating needs, building lasting relationships, and creating shared value.
Job Description:
Own demand and price response modeling end to end, from problem framing through production.
Deliver probabilistic forecasts at daily and intraday resolution for pricing and planning use.
Compare candidate modeling approaches against strong baselines and select on evidence.
Define model evaluation and the criteria for promoting a model into production.
Advance pricing from forecasting toward automated price recommendation, with appropriate safeguards.
Design and analyze pricing field experiments, including power analysis and site selection.
Build and deploy agentic and large language model automation for analytical workflows.
Define how AI and agentic systems are evaluated, including harnesses, benchmarks, and reusable skills.
Set orchestration standards for scheduled model and agent workloads.
Establish observability for models and agents in production, covering data quality, drift, cost, and alerting.
Serve as technical design reviewer for pricing programs delivered by other teams.
Partner with machine learning engineering to deploy, version, and monitor production models.
Mentor data scientists and present technical work to leadership and business stakeholders.
Additional Job Description:
Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or related quantitative field required; PhD/Master's degree in Machine Learning, AI, or related discipline preferred.
7+ years of industry data science or machine learning experience, including ownership of production models.
Deep expertise in demand forecasting and price response modeling, including probabilistic output and calibration.
Experience designing and analyzing field experiments, including power analysis and randomization.
Reinforcement learning experience a bonus.
Experience building and deploying agentic and large language model automation.
Experience evaluating AI systems using harnesses and benchmarks.
Expert level Python and SQL, with Git, code review, automated testing, and continuous integration.
Experience with a cloud machine learning platform, AWS SageMaker preferred, including model registry, monitoring, and alerting.
Experience with a cloud data warehouse, Snowflake preferred, and with transformation and orchestration tooling such as dbt and Dagster.
Experience delivering results through BI and application tooling such as Tableau and Streamlit.
Experience raising technical quality through specification, design review, and mentoring.
Strong written and verbal communication with both technical and business audiences.
Domain experience in fuel, retail, or another pricing intensive industry preferred.
Pay Range:
$160,500.00 - $240,800.00The pay range for this position is outlined above. The final amount offered at the start of employment is determined based on factors including, but not limited to, experience level, knowledge, skills, abilities and geographic location, and the Company reserves the right to modify base salary at any time, including for reasons related to individual performance, Company or individual department/team performance and market factors.
Our Commitments to You
Coins! We offer competitive salaries and opportunities for growth. We have an amazing Talent Development Team who create trainings for growth and job development.
Health & Wellness - Medical, Dental, Visions and Life Insurance. Along with additional wellness support.
The Road Ahead – We offer 401k and a match component!
Professional Development - We provide tuition reimbursement; this benefit is offered after 6 months of service.
What to Expect From the Hiring Process
We value passion and potential. Please apply if you’re qualified and interested—we’d love to hear from you.
A member of our Talent Acquisition team will review your application and may connect you with the hiring manager if your experience is a strong match.
Interviews are conducted virtually and in person, depending on the role. We’ll provide more details about next steps if selected to move forward.
Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at 781-747-9675 or 781-7GP-WORK.
*Disclaimer: At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know: In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Pay Range: $160,500.00 - $240,800.00 The pay range for this position is outlined above. The final amount offered at the start of employment is determined based on factors including, but not limited to, experience level, knowledge, skills, abilities and geographic location, and the Company reserves the right to modify base salary at any time, including for reasons related to individual performance, Company or individual department/team performance and market factors.
- Location & working pattern
Newton Office
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.