New York
powertofly approved What SeatGeek Has to Offer:

SeatGeek was built in 2009 as the only mobile ticketing marketplace created with fan experience top of mind. SeatGeek is transforming the way fans buy and sell their tickets to their favorite live events. They also offer benefits like:

  • $120/month to spend on tickets to live events
  • Health/dental/vision benefits
  • Annual subscriptions to Citibike, Spotify, & Meditation Services
  • SeatGeek operates a unique business model in a complicated, opaque market. Many of the hardest problems we face have never been tackled at scale and do not have clear questions, let alone answers.

    We are looking for a Sr. Data Scientist to join SeatGeek's Marketing Analytics team in New York City. You will join a motivated team that will be the go-to partner driving improvements in customer acquisition, engagement, and long-term growth by optimizing new channels, platforms, product features, and strategic marketing plans.

    You will lead experimentation for the team and develop our measurement capabilities for when traditional A/B testing isn't an option. We are looking for someone to help the team identify product and marketing levers for customer growth, and to systematically test and increase value for each.

    This is a unique opportunity to make your impact on the post-COVID world of live events. You will study customer behavior, growth strategies, sports markets, and ticketing inventory to bring data and insights into every decision we make. Above all, your work will improve how we think about customer growth and how we can make SeatGeek the top destination for live event goers. As a part of the wider Analytics community at SeatGeek, you will not only learn from a team of analysts, engineers, data scientists, and machine learning experts, but also develop your business literacy through substantial executive exposure.

    What you'll do

    As a member of the SeatGeek data science team you will report into the Head of Analytics. You will take the complex issues facing the business and make them simple. We aim to find meaning in the data we have, go out and get the data we don't. We use technology whenever possible, and we aim to build systems that solve the problems of today.

    Here are some things you might work on:

    • Create a hypothesis-driven Learning Agenda for paid marketing at SeatGeek. Partner with Growth Marketing to measure and identify conclusive and experimental outcomes, ensuring rigorous test design, and analysis. Communicate recommendations to marketing teams in a manner that productively influences decision-making.
    • Manage measurement partner relationships across Video, SEM, SEO and Social/Programmatic, and work directly with them to ensure fundamental testing/measurement requirements are met (Facebook, Google, Data+Math, Kantar MWB).
    • Improve our auction-based, machine-learning bidding models for paid marketing
    • Automate tasks using data from our bidding feeds e.g. triggered campaign creation, triggered ROAS adjustments
    • Support Growth Marketing by identification, sizing and prioritization of landing page and product opportunities
    • Work with data scientists and engineers to build lasting data modeling solutions, including automating analyses and authoring pipelines through SQL-based ETL frameworks
    Who you are

    You have experience working on open-ended projects, and the ability to come up with creative, elegant solutions to complex issues. Experience with specific tools is less important than knowledge and drive, but at a minimum we would expect:

    • 3+ years experience with mixed data skills and approaches (analytics, analytic tools, and data science)
    • Must have experience with SQL and Python:  writing production code
    • Strong analytical skills, including analysis and data modeling, statistics, A/B testing, and experimental design
    • You have understanding of a variety of modeling techniques (e.g. regression models, causal inference in marketing and product launches, advanced Bayesian techniques)
    • Passionate about translating goals into relevant analyses, and results into business and product recommendations.
    The tools we use

    We do research and development work in a custom environment optimized for repeatability and collaboration. You absolutely do not need experience with all of these, but we thought you might be curious.

    • Languages: Python for web services and product development, R for analysis and prototyping
    • Datastores: MySQL, Redshift, Elasticsearch, and Redis
    • Monitoring: Graphite/StatsD
    • Version control: Git
    • Equity stake in a well-funded growth stage company
    • A hybrid in-office approach, allowing you to work remotely a couple of days a week
    • A WFH stipend to support your home office setup
    • The ability to work from anywhere up to four weeks per year with SeatGeek on Tour
    • Benefits package that supports health/dental/vision. We also provide annual subscriptions to Headspace,, and One Medical 
    • A focus on transparency. We have regular company meetings and Q&A panels where employees can chat openly with teams across SeatGeek, our co-founders, and external guests from the industry
    • $120 a month to spend on tickets to live events
    • Annual subscription to Spotify, Apple Music, or Amazon music


    SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

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    (Sr.) Data Scientist - Marketing