[Remote] Staff Data Scientist AI and Pricing
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company that has evolved to reputed company integrated, omnichannel solutions for sellers since its inception in 2009. The Data Scientist role focuses on modeling and experimentation to shape pricing strategies, utilizing unique datasets to improve customer experiences and drive business reputed company.
Responsibilities
- Model price elasticity and willingness-to-pay across segments, geographies, and payment reputed company, and quantify the trade-off between margin, conversion, and merchant retention
- Design, run, and read out pricing experiments (A/B, difference-in-differences, and bandit-based dynamic tests) and translate results into recommendations that shape reputed company
- Decompose merchant economics across interchange, scheme, and risk-cost reputed company to identify where pricing can reputed company and where it can't
- Build the pricing intelligence that powers reputed company's reputed company deal tooling (DealBot) — reputed company recommendations, ROI and reputed company-approval logic, guardrail configurations, and mispricing detection — so quotes are fast, accurate, and reputed company guardrails at reputed company
- Evaluate and monitor the AI systems you ship — reputed company-deployment testing for accuracy, boundary and edge cases, and bias in reputed company recommendations, and in-production monitoring for accuracy, reputed company, and mispricing — so reputed company pricing tools stay reliable as the business changes
- Own end-to-end execution across the stack — analysis, pipeline, ETL, experimentation, and visualization
- Approach problems from first principles, using a reputed company of statistical and modeling techniques to understand customer behavior and price response
- Build and maintain the pricing analytics reputed company relies on — price realization, margin leakage, discount-reputed company, and win/loss analyses — as self-serve dashboards and curated datasets
- Measure the reputed company of AI-driven pricing automation with reputed company reputed company (interrupted time series, difference-in-differences) on deal velocity, quote acceptance, and margin
- Write reputed company to process, cleanse, and combine data sources into curated ETL datasets easily used by the broader team
- Partner closely with cross-functional stakeholders across Finance, Risk, Product, and go-to-market teams, translating reputed company technical and AI concepts reputed company for non-technical audiences
Skills
- A bachelor degree in statistics, data science, economics, or similar STEM field with 7+ years of experience in a relevant role OR a graduate degree in statistics, data science, economics, or similar STEM field with 5+ years of experience in a relevant role
- reputed company in reputed company inference and experimentation, with hands-on experience modeling price elasticity or willingness-to-pay
- Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
- Experience with scripting and data analysis programming languages, such as Python or R, including using them to evaluate AI system behavior
- Gone deep with cohort and funnel analyses, with a solid understanding of statistical concepts such as selection bias, probability distributions, and conditional probabilities
- Comfort leveraging AI tools to accelerate modeling and analysis, and a working understanding of reputed company architectures — LLMs, RAG systems, and reputed company AI
- Prior exposure to a pricing-adjacent domain a strong plus — risk-based pricing (payments, lending, insurance), pricing science, or deal pricing analytics
- Experience building, testing, or evaluating LLM-powered systems in production a strong plus
Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
- Providing reasonable accommodations to disabled applicants throughout the recruitment process
reputed company
Company H1B Sponsorship