Senior Data Scientist, SeatGeek
$120-224k
+ Equity stake
Ticketing platform for live events
Job no longer available
Ticketing platform for live events
501-1000 employees
Job no longer available
$120-224k
+ Equity stake
501-1000 employees
Company mission
To power a new, open entertainment industry where fans have effortless access to experiences, and team, venues, and shows have seamless access to their audiences.
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
- You absolutely do not need experience with all of these, but we thought you might be curious
- Languages: Python (preferred) or R, SQL
- Version control: Git
- Orchestration: Airflow
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
$77.8m
SERIES D
Total funding: $419m
Company benefits
- Benefits: We provide access to high-quality health insurance coverage, ample paid time off, and a matching 401k program.
- Parental leave: Congrats on welcoming a bundle of joy into your life! We offer 16 weeks of leave in a 12-month period.
- Subscriptions: Health and wellness are incredibly important so we cover employee subscriptions to services like One Medical, Ginger.io and Headspace.
- Team events: Regular virtual team hangs & happy hours are essential, especially while we’re all working remotely. We also put our typical day-to-day work aside for company-wide hackathons 3-4 times per year.
- Ticket perk: SeatGeek employees receive a monthly ticket-purchase stipend for live events!
- Flexible work environment: Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely. A WFH stipend to support your home office setup.
Company HQ
Flatiron District, New York, NY
Leadership
Jack Groetzinger
(Co-Founder & CEO)Jack is also a Founding Partner at Founder Creative. Previously, he founded Scribnia and worked as an Associate Consultant at Bain & Company.
Russell D'Souza
(Co-Founder)Previously, Russell co-founded Scribnia and worked as an Analyst at Monitor Group.
Eric Waller
(Co-Founder & CTO)Eric previously co-founded Niqos where he worked as a Web Developer for 3 years. He also served as a Web Developer at Tickerhound and as a User Experience Engineer at Amie Street.
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