TickPick
Technology
DataScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist at TickPick. Skills: Machine learning models, Model operationalization, Data science. Support experimentation with new features. Forecast impact of changes”
What You'll Achieve.
Ensure innovation at scale; Ensure transparency at scale; Ensure cost-effectiveness at scale; Drive production impact; Produce better user acquisition outcomes
Industry & Context.
Analytical approaches; Problem-solving
What They're Looking For.
Must Have
BAS in quantitative field, 3+ years ML models, Experience operationalizing ML models, Experience with Snowflake, Experience with Databricks, Proficient in Python
Nice to Have
Track record stakeholder buy-in, Experience with paid search, Experience with paid social, Experience with data modeling software, Experience with marketplace businesses, Experience with dynamic pricing
What You'll Do.
Support experimentation with new features
Forecast impact of changes
Understand impact of changes
Build machine learning models
Deploy machine learning models
Maintain machine learning models
Operationalize models sustainably
Operationalize models maintainably
Collaborate with product teams
Collaborate with growth teams
Collaborate with development teams
Identify opportunities for data science
Drive experiments through decision
Drive initiatives through decision
Drive experiments into production
Drive initiatives into production
Analyze transactional data
Identify opportunities for efficiency
Identify opportunities for transparency
Identify opportunities for low-cost interactions
Drive marketplace growth
How You'll Work.
Team & Collaboration
Product teams; Growth teams; Development teams; Stakeholders across business
Communication Scope
Communicate findings; Build buy-in; Communicate clearly
Full Job Description
### Who We Are: Same Seats. Better Prices. Among the fastest growing technology companies, TickPick is reshaping the secondary ticket marketplace, putting money back in the wallets of live event-goers. Since inception, we have saved our customers over $55 million in service fees. Our BestPrice Guarantee backs up our promise to deliver better prices than our competition. 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 concerts, sports, or theater, 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 lean, high-output engineering 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 — 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. ### Core Responsibilities: * Support the organ
Applying for this Data Scientist role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about TickPick?
Real rants from real employees. Read before you apply.