Data Scientist

TickPick•New York, NY

3d•Hybrid

About The Position

TickPick is seeking a Data Scientist to aid in the innovation and growth of its marketplace business. The ideal candidate will have professional experience in building and operationalizing machine learning models for predicting business outcomes such as customer spending, churn, and price forecasting. This role requires a curious individual interested in marketplace business optimization, with a vision for ensuring innovation, transparency, and cost-effectiveness at scale. 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 within a company that prioritizes data and offers the chance to 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 of models.
Demonstrated experience operationalizing ML models in production, either independently or alongside 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, experimentation, and more.
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 from the business, and ensuring that the results of your efforts lead to production impact.
Experience with paid search and/or paid social, and with experimentation that supports growth teams in producing better user acquisition outcomes.
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.
A demonstrated interest in related areas such as marketplaces, financial markets, or other related areas (hands-on experience a plus).

Responsibilities

Support the organization in experimenting with new product features and strategies, forecasting and understanding the impact of these changes.
Build, deploy, and maintain machine learning models in production, ensuring they are operationalized in a sustainable and maintainable way.
Collaborate with product, growth, and development teams to identify opportunities for data science integration in product/feature development and to drive experiments and initiatives from inception to production.
Assist with the analysis of large volumes of transactional data to identify opportunities for creating efficient, transparent, and low-cost marketplace interactions that drive growth.