(Sr.) Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

By catering to both consumers and enterprises, we’re powering a new, open entertainment ecosystem where fans have effortless access to experiences, and teams, venues, and shows have seamless access to their audiences. Because everyone should expect more from ticketing.

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 are looking for Data Scientists with varying levels of experience to join SeatGeek’s Data team in New York City. 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

Perks

• Equity stake
• 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
• Flexible PTO
• Up to 16 weeks of paid family leave
• 401(k) matching program
• Health, vision, dental, and life insurance
• Annual subscriptions to Headspace, Ginger.io, and One Medical 
• $120 a month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music