Data Scientist

TickPick•New York, NY

4d•$105,000 - $135,000•Hybrid

About The Position

TickPick is seeking a Data Scientist to contribute to the innovation and growth of its marketplace business. The ideal candidate will have experience building and operationalizing machine learning models for predicting business outcomes like customer spending, churn, and price forecasting. This role requires a curious individual interested in marketplace optimization, with a vision for scalable innovation, transparency, and cost-effectiveness. The Data Scientist will collaborate with stakeholders across the business, communicate findings, build buy-in, and drive projects to production impact. This is an opportunity to join a growing team in a data-focused company and influence various aspects of the business.

Requirements

BA/BS in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or Data Science.
3+ years of experience with machine learning models, including development, version control, and deployment/serving.
Demonstrated experience operationalizing ML models in production, either independently or with an engineering team.
Experience working with platforms such as Snowflake and Databricks.
Proficient in one or more programming languages, such as Python.
Experience using AI tools to increase throughput for exploratory data analysis, model development, and experimentation.
Strong planning, communication, and problem-solving skills.

Nice To Haves

A track record of getting stakeholder buy-in and commitment on experiments and initiatives, communicating findings clearly, addressing concerns, and ensuring production impact.
Experience with paid search and/or paid social, and with experimentation supporting growth teams in user acquisition.
Experience working with data modeling software and on teams with data modelers.
Experience using analytical approaches to problem-solving with large volumes of data.
Experience with marketplace businesses and dynamic pricing.
Demonstrated interest in related areas such as marketplaces, financial markets, or other related areas (hands-on experience a plus).

Responsibilities

Support experimentation with new product features and strategies, forecasting and understanding their impact.
Build, deploy, and maintain machine learning models in production, ensuring sustainable and maintainable operationalization.
Collaborate with product, growth, and development teams to integrate data science into product/feature development and drive initiatives from experimentation to production.
Analyze large volumes of transactional data to identify opportunities for creating efficient, transparent, and low-cost marketplace interactions that drive growth.