About the Role:
We are seeking a strategic and business‑focused Senior Decision Scientist – Product & Pricing to lead advanced analytical work that shapes pricing strategy, product packaging, and customer value understanding. In this role, you will build and apply statistical and machine learning models to optimize pricing zones, estimate willingness‑to‑pay, analyze customer behavior and demographics, and evaluate how packaging and feature design influence adoption and profitability. You will work closely with various stakeholders to translate complex analysis into clear, actionable insights that drive meaningful business impact. This role is ideal for someone who excels at combining analytical rigor with strategic problem‑solving in a high‑impact environment. 

Key Responsibilities:

Lead the design and execution of pricing analytics, including pricing zone optimization, price elasticity measurement, competitive benchmarking, and willingness‑to‑pay models.Develop predictive models and statistical analyses to understand customer behavior, value perception, and revenue drivers.Build WTP models, market segmentation & clustering frameworks, demand curves, and scenario simulations to support pricing decisions.Conduct deep‑dive analyses into discounting & promotional data to identify monetization opportunities and pricing performance trends.Perform customer behavioral analysis and segmentation, including analysis of customer demographics, purchasing patterns, and value sensitivity.Conduct analysis on product packaging and offering design (e.g., bundles, tiers, enrichments, etc.) to understand how packaging interacts with pricing, customer uptake, and profitability.Translate complex analytical findings into clear, compelling stories for technical and non‑technical audiences.Partner with stakeholders across organizations to identify pricing opportunities and shape pricing & packaging strategy

 

Required Qualifications:

Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or related field with 2–4 years of experience;
or Bachelor’s degree with 3–5 years of experience in data science, pricing analytics, or related domains.Demonstrated experience delivering data science projects such as:Statistical analysis and hypothesis testingRegression modeling and forecastingA/B testing and experimentation measurementMachine learning models (supervised/unsupervised)Proficiency in Python/R, and SQL.Strong understanding of statistical concepts, experimental design, and ML fundamentals.Ability to break down ambiguous problems, structure analytical approaches, and deliver impactful insights.Strong business acumen and ability to influence decisions through data.Excellent communication and storytelling skills.

 

Compensation and Benefits:

Compensation based on position, education and experience. Bi-weekly paid. $105-115,000 base salary.This position is also eligible for our Support Central bonus program which is based on annual achievement of company performance.Health and Wellness Benefits Employees are eligible for a variety of health and welfare benefits based on their Full-time or Part-time status on their date of hire, which include medical, dental, vision, healthcare & dependent care flexible spending accounts (FSAs), life insurance, disability, accident, critical illness, hospital indemnity, pre-paid legal, pet insurance and identity theft protection.Employees are eligible to participate in our 401(k) retirement plan after 30 days of employment. Participating employees are also eligible to receive a company provided match on their elective deferrals once they reach 1 year of employment with the company.Employee perks/discounts Education assistance including tuition reimbursement Childcare discount available to all employeesCorporate partner DiscountsThis position is eligible for paid time off.  All Corporate employees are enrolled in our Flexible Paid Time Off (PTO) plan.  This plan allows for flexibility and discretion between employees and managers in taking time off - with no set accrual for vacation or sick time. Employees can use Flexible PTO for any reason and is compliant with the Colorado Healthy Families Work Act.Applications accepted through 4/30/26.

 

Florida Background Screening Notice:
Employment with this company is contingent upon successful completion of Florida’s required background screening. Information regarding Florida’s Background Screening Clearinghouse and screening requirements can be found here: https://info.flclearinghouse.com.