(Sr.) Data Scientist - Marketing

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.

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

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