Staff Data Scientist

Global Partners LP; Newton (MA); On-site; USD 161,000 - 241,000; Full time

Job summary

Global Partners LP in Newton, MA seeks a Staff Data Scientist to lead demand and price response modeling for daily pricing decisions. You will own modeling approaches, evaluation for production, and experiments that inform pricing strategies across fuel and convenience store segments.

Role emphasizes building probabilistic forecasts, deploying AI systems, and mentoring other data scientists while collaborating with ML engineering.

Qualifications

• Bachelor's degree in CS, Statistics, Mathematics, Physics, or related quantitative field required; PhD/Master's degree in ML, AI, or related discipline preferred.
• 7+ years of industry data science or ML 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.

Responsibilities

• 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 criteria for production readiness and governance.

Skills

Python

SQL

ML Engineering

Demand Forecasting

Experiment Design

AWS SageMaker

Dagster

dbt

Tableau

Team Mentoring

Education

Bachelor's degree in CS/Statistics/Math

PhD/Master's in ML/AI

Tools

Snowflake

Dagster

dbt

Git

CI/CD

Tableau

Streamlit

Job description

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 the cornerstone of our 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.

Your Role, Your Impact

• 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.

Qualifications

• 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 - $240,800.00

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.

Our Commitments to You

• Competitive Pay - We offer competitive salaries and opportunities for growth within.
• Health & Wellness - Medical, Dental, Visions and Life Insurance. Along with additional wellness support.
• The Road Ahead – We offer 401k and a match component. We also provide tuition reimbursement; this benefit is offered after 6 months of service.
• Professional Development – We value lifelong learning and have many internal development programs and access to other on-demand learning for continued career growth.
• These commitments are offered to employees in permanent roles, as part of our support for long-term growth and success

What to Expect From the Hiring Process

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.