Staff Data Scientist AI and Pricing
Block
- Location
- US
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 239,600–359,400/yr
Posted 1mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Model price elasticity and willingness-to-pay
- Design, run, and read out pricing experiments
- Decompose merchant economics
- Build pricing intelligence for deal tooling
- Evaluate and monitor AI systems
- Own end-to-end execution across the stack
- Build and maintain pricing analytics
- Measure the impact of AI-driven pricing automation
- Write code to process, cleanse, and combine data sources
- Partner closely with cross-functional stakeholders
Requirements
- Bachelor degree in statistics, data science, economics, or similar STEM field with 7+ years of experience OR graduate degree with 5+ years of experience
- Fluency in causal inference and experimentation
- Hands-on experience modeling price elasticity or willingness-to-pay
- Advanced proficiency with SQL
- Advanced proficiency with data visualization tools (e.g. Tableau, Looker, etc)
- Experience with scripting and data analysis programming languages, such as Python or R
- Experience using Python or R to evaluate AI system behavior
- Deep understanding of cohort and funnel analyses
- Solid understanding of statistical concepts such as selection bias, probability distributions, and conditional probabilities
- Comfort leveraging AI tools to accelerate modeling and analysis
- Working understanding of generative AI architectures — LLMs, RAG systems, and agentic AI
- Experience building, testing, or evaluating LLM-powered systems in production a strong plus
Preferred
- Prior exposure to a pricing-adjacent domain a strong plus — risk-based pricing (payments, lending, insurance), pricing science, or deal pricing analytics
Skills
- SQL
- Snowflake
- Python
- Pandas
- Numpy
- Tableau
- Looker
- LLMs
- RAG
- Generative AI
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