Staff Data Scientist (AI)

Location: Newton Office, United States

Salary: $160,500–$240,800 per year

Company

hirify.global is a Fortune 500 fuel and convenience retail company with more than 90 years of experience serving customers and communities.

What you will do

• Own demand forecasting 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, randomization, and site selection.
• Advance forecasting toward automated price recommendations with appropriate safeguards.
• Build and deploy agentic and large language model automation for analytical workflows.
• Define evaluation, orchestration, observability, and design-review standards for production AI and pricing systems.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 7+ years of industry data science or machine learning experience, including ownership of production models.
• Deep expertise in demand forecasting, price-response modeling, probabilistic outputs, and calibration.
• Experience designing and analyzing field experiments, including power analysis and randomization.
• Expert-level Python and SQL, with Git, code review, automated testing, and continuous integration.
• Ability to work from the Newton office in the United States.

Nice to have

• Master’s or PhD in Machine Learning, AI, or a related discipline.
• Reinforcement learning experience.
• Experience with AWS SageMaker, Snowflake, dbt, Dagster, Tableau, or Streamlit.
• Domain experience in fuel, retail, or another pricing-intensive industry.

Culture & Benefits

• Medical, dental, vision, and life insurance.
• Wellness support.
• 401(k) plan with a company match.
• Training and professional development opportunities.
• Tuition reimbursement after six months of service.

Hiring process

• Talent Acquisition reviews applications and may connect qualified candidates with the hiring manager.
• Interviews may be conducted virtually and in person, depending on the role.