Data Scientist, TickPick

• 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 — and, just as importantly, experience operationalizing those models so they run reliably in production without becoming a maintenance burden over time
• 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
• You should also be comfortable partnering with stakeholders across the business — communicating your findings, building buy-in, and seeing your work through to real production impact
• 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
• 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

Desirable

• Support the organization as we experiment with new product features and strategies, helping to forecast and understand the impact of these changes
• Build, deploy, and maintain machine learning models in production — operationalizing them in a sustainable, maintainable way
• Collaborate with product, growth, and development teams to identify opportunities to incorporate a data science approach to product / feature development, and to drive experiments and initiatives through to a decision and into production
• Assist with analysis of large volumes of transactional data to identify opportunities to create efficient, transparent, and low-cost marketplace interactions that drive growth