Senior Staff Data Scientist

Location: New York, NY; hybrid work with 3 days per week in the office

Salary: $240,000–$249,500 per year in New York. Geographic salary structures also apply to Illinois.

Company

hirify.global operates Grubhub, a U.S. food ordering and delivery marketplace connecting diners with more than 415,000 merchants across over 4,000 cities.

What you will do

• Define data science principles, frameworks, and best practices for improving customer, marketplace, and business outcomes.
• Identify high-impact opportunities across marketplace efficiency, customer experience, ETA accuracy, fulfillment, pricing, supply planning, forecasting, and operations.
• Design causal inference and experimentation frameworks to measure the impact of product, operational, and marketplace changes.
• Partner with engineering on shared data layers, feature pipelines, modeling APIs, experimentation infrastructure, and production ML services.
• Lead experimentation strategies in high-noise environments and ensure models and insights are operationalized in production.
• Mentor Data Scientists and provide technical direction across the group.

Requirements

• 8+ years of industry experience with a relevant MS degree, or 6+ years with a PhD in a quantitative field.
• Experience applying data science and machine learning to complex business problems such as marketplace optimization, forecasting, personalization, pricing, or product experimentation.
• Deep expertise in causal inference, experimentation, and statistical modeling, including A/B testing, difference-in-differences, regression discontinuity, instrumental variables, synthetic controls, or uplift modeling.
• Proficiency in Python, data analysis, visualization, object-oriented design, and scalable production-ready code.
• Experience taking data science, ML, or causal inference systems into production and partnering with engineering on deployment and monitoring.
• Fluency in SQL or similar tools and experience mentoring scientists, analysts, or engineers.

Nice to have

• Experience designing data science, ML, measurement, or experimentation frameworks for marketplaces, consumer products, fulfillment, logistics, pricing, forecasting, or operations.
• Background in econometrics, Bayesian modeling, experimental design, or observational measurement.
• Experience with power analysis, heterogeneous treatment effects, guardrail metrics, interference effects, and long-term impact measurement.
• Experience defining strategy and technical roadmaps for data science, ML, experimentation, or causal inference platforms.

Culture & Benefits

• Hybrid collaboration with the option to work in the office up to 5 days per week.
• Competitive salary package with equity and a 401(k).
• Medical, dental, and vision plans.
• Commitment to objective hiring and diversity, equity, and inclusion.
• Accommodation support is available during the interview process.

Hiring process

• Interview scheduling and candidacy updates are provided by email or text.