Senior Data Scientist, SeatGeek
$120-224k
+ Equity stake
Ticketing platform for live events
Open for applications
Ticketing platform for live events
501-1000 employees
Open for applications
$120-224k
+ Equity stake
501-1000 employees
Company mission
SeatGeek’s mission is to help the world to experience more live.
Role
Who you are
- Experience working on open-ended projects, and the ability to come up with creative, elegant solutions to complex issues
- 5+ years of relevant applied experience with a degree or higher in economics, computer science, statistics, or mathematics or another quantitative discipline
- A strong understanding of standard statistical methods for analysis
- Expertise with at least one scripting language (ideally Python, though R is acceptable)
- Expert-level knowledge of SQL
- Experience with analytics & visualization tools (Looker, ggplot/matplotlib or equivalent)
- Experience performing analysis with large datasets
- Independent thinking, ability to work autonomously, capability of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences
- Natural communication skills with a value for building strong relationships with colleagues and partners and enjoys mentoring and teaching others
What the job involves
- We are looking for a Senior Data Scientist to join SeatGeek’s Demand Analytics team, focusing on measurement and optimization of marketing channel performances
- You will join a team that is the go-to partner on data production and insights generation for SeatGeek’s Demand team, which is responsible for our marketing strategies and operations
- Your work will support strategies, optimization, and budget allocation decisions across marketing channels. You will develop a deep understanding of how SeatGeek can use its unique position in the industry to grow and retain our customers
- You will tackle open ended questions, conduct exploratory analyses, design and analyze experiments, and build models
- Develop, validate and maintain machine learning models that support business strategies and decisions
- Design experiments or use causal inference methods to measure channel incrementality or campaign effectiveness
- Develop research questions and conduct data analysis to generate insights and recommendations that help SeatGeek make smarter decisions and enhance operational efficiency
- Define, evaluate, and monitor key metrics, understanding the root causes of changes, and feeding them back to business stakeholders to action on
- Work closely with the Analytics Engineering team to build lasting, analysis-friendly data models, and perform batch models that run in production
- Contribute to the development of the Demand Analytics function and the wider data community at SeatGeek with programming and problem-solving best practices
- Partner with stakeholders on the Demand team, understanding their objectives and aligning our work to complement and enhance their ability to achieve those goals
Our take
For many fans, buying tickets online can be a time-consuming and frustrating process. SeatGeek is setting out to ease this problem by powering an open entertainment industry that provides fans with greater access to experiences, while enabling teams, venues, and shows to have seamless access to their audiences.
SeatGeek launched with a laser-sharp focus on creating a customer-oriented ticketing marketplace for sports and live events. Its commitment to optimizing fan experience has helped distinguish the company from rivals, such as Ticketmaster and Live Nation, with its expanding suite of simple features that have made it the highest-rated and most trusted ticketer.
SeatGeek has secured integration partnerships with Facebook, Spotify and Snapchat, and has an impressive client list that includes the Dallas Cowboys, Manchester City FC, and the Brooklyn Nets. It continues to onboard enterprise clients, expand its international presence and release new products such as "Next Fan Up", positioning it well for future success.
Steph
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Aug 2022
$238m
SERIES E
Apr 2017
$78.4m
SERIES D
Total funding: $419.5m
Company benefits
- Health Insurance Coverage
- Ample Paid Time Off
- 401k Matching Program
- Parental Leave - 16 weeks of leave in a 12-month period
- Health and wellness subscriptions to services like One Medical, Ginger.io and Headspace
- Regular virtual team hangs & happy hours + Company-Wide Hackathons 3-4 times per Year
- SeatGeek Monthly Ticket-Purchase Stipend
- Flexible work environment - Work as many days a week in the office as you'd like, or 100% remotely
- WFH Office Setup Stipend
Company HQ
Flatiron District, New York, NY
Leadership
Jack Groetzinger
(Co-Founder & CEO)Worked as a consultant for Bain. Founded and sold another startup, Scribnia, before founding SeatGeek.
Russell D'Souza
(Co-Founder)Worked as an analyst for Monitor. Founded and sold another startup, Scribnia, before founding SeatGeek.
Eric Waller
(Co-Founder)Worked as a Web Developer at Tickerhound. Co-founded and was a Web Developer at Niqos.
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