Director of Pricing

Seattle, WA

Job Category: Pricing/Pricing Analytics Job Number: 2723 Annual Salary: up to $200K + equity Industry: Financial Services

Calling all coffee lovers! We have an exciting new role in Seattle for a Director of Pricing. Our client is growing fast and they are looking for someone that can help optimize their pricing strategy. This role will be responsible for scaling the pricing program, building experimentation plans, articulating target metrics to evaluate all while leading the team to execute and evaluate results along the way.  

The ideal candidate will be hands-on with statistics and econometrics and have experience building a program from the ground up. This is a startup environment, so must be able to get your hands dirty and be comfortable operating with a high degree of autonomy. This role will have a significant impact on the company's bottom line. In addition, you may also be called upon to provide statistical and analytical expertise to other teams including treasury, marketing, and operations.


A Degree in Economics, Econometrics, Applied Statistics, Computer Science, or a related quantitative discipline.
At least 7 years of experience applying statistics, predictive modeling and machine learning that resulted in data-driven business decisions.
People management experience
Hands-on experience with Python and R to build models, SQL to manipulate data, and working with time series analysis
Strong business acumen

This is a high-visibility role, and strong communication skills are required. The decisions made by this role directly affect their customers, so they need someone that is extremely responsive and shows a high degree of ownership.

Salary up to $200K + equity. Relocation is available.

Keywords: pricing, optimization, machine learning, time series, python, R, SQL, econometrics, statistics, predictive modeling

Heidi Kalish
Executive Recruiter

Heidi brings a depth of experience and expertise in recruiting quantitative professionals. She has partnered with candidates within predictive analytics, data science, and operations research and understands the nuances of all of these areas.
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