Senior Data Scientist - Pricing, Demand & AI Systems

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 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.