Senior Data Scientist, Pricing & Demand AI

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

Job summary

Global Partners LP is seeking a Staff Data Scientist to drive pricing and demand science and applied AI within the Central Data and Analytics Organization. You will own modeling, evaluation, and production deployment of forecasting systems that inform daily pricing decisions for fuel and convenience-store operations.

The role requires strong Python/SQL expertise, a track record of production models, and a focus on observability, experimentation, and collaboration with ML engineering and

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or related quantitative field; PhD/Master's preferred.
• 7+ years of industry data science or ML experience with production models ownership.
• Deep expertise in demand forecasting and price response modeling with probabilistic output and calibration.
• Experience designing and analyzing field experiments with 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.
• Define model evaluation criteria for promoting models to production.
• Mentor data scientists and present technical work to leadership and business stakeholders.

Skills

Strong communication

Mentoring

Leadership in data science

Problem framing

Education

Bachelor's degree in a quantitative field

PhD/Master's in ML/AI preferred

Tools

Python

SQL

Git

Dagster

dbt

Snowflake

AWS SageMaker

Tableau

Streamlit

Job description

Global Partners LP is seeking a Staff Data Scientist to drive pricing and demand science and applied AI within the Central Data and Analytics Organization. You will own modeling, evaluation, and production deployment of forecasting systems that inform daily pricing decisions for fuel and convenience-store operations.

The role requires strong Python/SQL expertise, a track record of production models, and a focus on observability, experimentation, and collaboration with ML engineering and