Data Scientist

Who We Are:

TickPick is a fast-growing technology company that is reshaping the secondary ticket marketplace. Through a combination of software development, product innovation, and best-in-class customer experience, we have saved our customers over $60 million in service fees.

Since our launch in 2011, we have sold over $1 billion in tickets, and for the last five years, TickPick has been named a Deloitte Technology Fast 500 award winner and has landed on lists of Inc. 5000's and Crain's New York Business' Fast 50.

If you are passionate about solving complex problems and want to see your skills and experience have a direct impact on a fast-growing company, TickPick is the place for you. We are building a diverse team, committed to providing the most innovative, transparent, and cost-effective ticket marketplace in the industry.

Who You Are:

We’re looking for a Data Scientist to help our marketplace business continue to innovate and grow. An ideal candidate will have professional experience building machine learning models that are used to predict business outcomes, such as customer propensity to spend, churn prediction, price forecasting, or other relevant areas.

You should have a curious mind and an interest in how a marketplace business optimizes its growth, with a vision for how to ensure innovation, transparency, and cost-effectiveness at scale. If you are looking to join a growing team within a growing company that’s making data a priority, this is the role for you. You’ll have the opportunity to touch many aspects of the business.

Core Responsibilities:

• Support the organization as we experiment with new product features and strategies, helping to forecast and understand the impact of these changes.
• Collaborate with product and development teams to identify opportunities to incorporate a data science approach to product / feature development.
• Assist with analysis of large volumes of transactional data to identify opportunities to create efficient, transparent, and low-cost marketplace interactions that drive growth.

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 in Databricks.
• Experience working with platforms such as Snowflake, Databricks SQL, and Azure SQL.
• Proficient in one or more programming languages, such as Python.
• Strong planning, communication, and problem-solving skills.

Strongly Desired Attributes:

• Interest in marketplace businesses.
• Experience working with data modeling software and on teams with data modelers.
• Experience using analytical approaches to problem-solving with large volumes of data.