Data Scientist

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. We are looking for a 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.What you'll doDevelop, validate and maintain machine learning models that support business strategies and decisionsDesign experiments or use causal inference methods to measure channel incrementality or campaign effectivenessDevelop research questions and conduct data analysis to generate insights and recommendations that help SeatGeek make smarter decisions and enhance operational efficiencyDefine, evaluate, and monitor key metrics, understanding the root causes of changes, and feeding them back to business stakeholders to action onWork closely with the Analytics Engineering team to build lasting, analysis-friendly data models, and perform batch models that run in productionContribute to the development of the Demand Analytics function and the wider data community at SeatGeek with programming and problem-solving best practicesPartner with stakeholders on the Demand team, understanding their objectives and aligning our work to complement and enhance their ability to achieve those goalsWhat you haveExperience working on open-ended projects, and the ability to come up with creative, elegant solutions to complex issues3+ years of relevant applied experience with a degree or higher in economics, computer science, statistics, or mathematics or another quantitative disciplineA strong understanding of standard statistical methods for analysisExpertise with at least one scripting language (ideally Python, though R is acceptable)Expert-level knowledge of SQLExperience with analytics & visualization tools (Looker, ggplot/matplotlib or equivalent)Experience performing analysis with large datasetsIndependent thinking, ability to work autonomously, capability of taking on loosely defined problems and translating complex thinking into practical application for diverse audiencesNatural communication skills with a value for building strong relationships with colleagues and partners and enjoys mentoring and teaching othersOur stackWe 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 (preferred) or R, SQLVersion control: GitOrchestration: AirflowPerksEquity stakeFlexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotelyA WFH stipend to support your home office setupUnlimited PTOUp to 16 weeks of fully-paid family leave 401(k) matching programStudent loan support resourcesHealth, vision, dental, and life insuranceUp to $25k towards family building and reproductive health servicesGender-affirming care support program$500 per year for wellness expensesSubscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical$120 per month to spend on tickets to live eventsAnnual subscription to Spotify, Apple Music, or Amazon musicThe salary range for this role is $120,000-$224,000. Actual compensation packages within that range are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.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!To review our candidate privacy notice, click here.Originally posted on Himalayas

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