Senior Data Scientist

New York
Main Location
New York City, NY, United States
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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. Moving forward requires critical thinking, rapid prototyping, and intellectual dexterity.

    Our team members have varied backgrounds including an expert on natural language processing, a neuroscientist, a former math teacher, and a mathematician who previously specialized in traffic flow optimization. We share common views on experimental thoughtfulness, and software quality.

    We want someone to join us who shares our excitement at providing data services to our colleagues and customers, someone proficient in at least one general-purpose programming language and who knows its scientific stack. We want someone who can take a messy dataset and make it clean and who can take a clean dataset and make it sing. Last but not least, we want someone who's committed not only to bettering themselves but to bettering their team, someone who values and invests in knowledge share.

    What you'll do

    As a member of the SeatGeek data science team 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. You will report in our Head of Analytics.

    Here are some things you might work on:

    • Design and implement statistical tests for new KPIs in our A/B testing framework
    • Mine user interaction data for operational efficiencies and product improvements that could save our customers time and boost our bottom line
    • Provide a talk to engineers on your favorite Scala features or a class on epistemology to the business
    • Estimate how adding a hundred thousand tickets to our inventory or changing how we allocate marketing resources will improve revenue
    • Use machine learning to identify when a user has a problem before they contact us
    • Build a model to predict the probability a ticket listing will sell at a given price
    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 experience and drive, but at a minimum we would expect:

    • 5+ years of academic or professional experience in a quantitative role
    • Must have experience with SQL and Python (or Scala):  writing production code
    • Experience translating our problems into data problems and solving them
    • Commitment to creating and sharing reproducible analysis
    • A passion for learning and teaching others
    • Use applied statistics or machine learning on complex, noisy datasets
    • Scale and turn statistical models into production-ready applications such as recommender systems
    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 devlopment, R for analysis and prototyping
    • Datastores: MySQL, Redshift, Elasticsearch, 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!


    We're a community of women leveraging our connections into top companies to help underrepresented women get the roles they've always deserved. Simultaneously, we work to build truly inclusive hiring processes and environments where women can thrive and not just survive.
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    Senior Data Scientist