Data Scientist
New York City (Chelsea, in-person)
Competitive early-stage compensation
Real-time sports market pricing engine
We are working with an early-stage company building data-driven pricing systems for the secondary ticket market across sports and live events.
The platform leverages real-time signals to generate pricing and bidding decisions in fast-moving, high-variance environments. Through a recent partnership, the business can now make instant cash offers to ticket holders and is already processing strong weekly transaction volume with consistent growth.
The Role
You will build and improve models that drive pricing and risk decisions. This includes working with live data, developing new features, and continuously refining model performance in complex market conditions.
Key Responsibilities
Develop and iterate on pricing and bidding models
Work with real-time and batch data sources
Incorporate external signals such as game events, weather, and demand shifts
Analyze model performance and improve outputs
Collaborate with engineering to deploy and maintain models
Tech Stack & Environment
Python
Pandas
Spark (where needed)
Real-time and batch data pipelines
What We’re Looking For
Strong experience in Python and data modeling
Experience working with messy or rapidly changing datasets
Background in real-time or event-driven systems
Strong problem-solving and analytical thinking
Interest in markets or pricing systems
Why This Opportunity
Work on models that directly impact revenue and risk
Tackle complex, real-world data problems
Join a small team with high ownership and fast iteration
People In AI works with a focused set of companies building impactful AI and data-driven products. We provide direct access to hiring teams and clear context so you can evaluate opportunities efficiently and make informed decisions.
