Jobs · Information Technology · New York

Data Scientist

TickPick · New York, NY · 2 mo ago
HybridInformation Technology$105k–$135k/yrFull-time

About the role

TickPick is a rapidly growing technology company that reshapes the secondary ticket marketplace, offering better prices and saving customers over $55 million in service fees since its inception. We are dedicated to innovation, transparency, and cost-effectiveness in the industry.

Core Responsibilities

  • Support the organization in experimenting with new product features and strategies, forecasting and understanding their impact
  • Build, deploy, and maintain machine learning models in production, ensuring they run reliably and sustainably
  • Collaborate with product, growth, and development teams to incorporate a data science approach to product and feature development, driving experiments and initiatives into production
  • Assist with analysis of large volumes of transactional data to enhance marketplace interactions and drive growth

Requirements

  • Bachelor’s degree 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
  • Proficiency in one or more programming languages, such as Python
  • Experience using AI tools for data exploration, model development, experimentation, and more
  • Strong planning, communication, and problem-solving skills

Nice to Have

  • Experience with marketplace businesses and dynamic pricing
  • A demonstrated interest in related areas such as marketplaces, financial markets, or other related fields
  • Experience with paid search and/or paid social, and with experimentation supporting growth teams
  • Experience with data modeling software and teams of data modelers
  • Experience using analytical approaches to problem-solving with large volumes of data

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