Staff Data Scientist
Global Partners · Newton Office ·
- Seniority
- Staff
- Category
- Data science
- Company size
- 1000+
- Salary
- USD 160,500 – 240,800 / year
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Builds and deploys AI-driven demand and price response models for fuel/convenience retail pricing, designing experiments, mentoring teams, and ensuring production model quality.
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.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.
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