Senior Data Scientist

SeatGeek; United States; Remote; USD 133,000 - 192,000; Full time

Job summary

SeatGeek is seeking a Senior Data Scientist to enhance its Demand Analytics team. The role focuses on measuring and optimizing marketing strategies through data-driven insights, requiring expertise in machine learning, data analysis, and strong communication skills. This position offers flexible remote work arrangements and extensive benefits.

Benefits

Equity stake

Flexible work environment

Work from home stipend

Unlimited PTO

401(k) matching program

Family leave

Health, vision, dental, life insurance

$500 for wellness expenses

Subscriptions to meditation and therapy services

$120 monthly for event tickets

Annual music subscription

Qualifications

• 5+ years of relevant applied experience in a quantitative discipline.
• Expert-level knowledge of SQL and experience with Python.
• Strong understanding of statistical methods for analysis.

Responsibilities

• Develop, validate, and maintain machine learning models for business strategies.
• Design experiments to measure channel effectiveness.
• Perform data analysis to generate insights for operational efficiency.

Skills

Statistical analysis

Machine learning

Data analysis

Creative problem-solving

Communication

Education

Degree in economics, computer science, statistics, mathematics

Tools

Python

SQL

Looker

Git

Airflow

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.

We are looking for a Senior 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 do

• Develop, validate and maintain machine learning models that support business strategies and decisions
• Design experiments or use causal inference methods to measure channel incrementality or campaign effectiveness
• Develop research questions and conduct data analysis to generate insights and recommendations that help SeatGeek make smarter decisions and enhance operational efficiency
• Define, evaluate, and monitor key metrics, understanding the root causes of changes, and feeding them back to business stakeholders to action on
• Work closely with the Analytics Engineering team to build lasting, analysis-friendly data models, and perform batch models that run in production
• Contribute to the development of the Demand Analytics function and the wider data community at SeatGeek with programming and problem-solving best practices
• Partner with stakeholders on the Demand team, understanding their objectives and aligning our work to complement and enhance their ability to achieve those goals

What you have

• Experience working on open-ended projects, and the ability to come up with creative, elegant solutions to complex issues
• 5+ years of relevant applied experience with a degree or higher in economics, computer science, statistics, or mathematics or another quantitative discipline
• A strong understanding of standard statistical methods for analysis
• Expertise with at least one scripting language (ideally Python, though R is acceptable)
• Expert-level knowledge of SQL
• Experience with analytics & visualization tools (Looker, ggplot/matplotlib or equivalent)
• Experience performing analysis with large datasets
• Independent thinking, ability to work autonomously, capability of taking on loosely defined problems and translating complex thinking into practical application for diverse audiences
• Natural communication skills with a value for building strong relationships with colleagues and partners and enjoys mentoring and teaching others

Our stack

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 (preferred) or R, SQL
• Version control: Git
• Orchestration: Airflow

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
• Unlimited PTO
• Up to 16 weeks of fully-paid family leave
• 401(k) matching program
• Student loan support resources
• Health, vision, dental, and life insurance
• Up to $25k towards family building and reproductive health services
• Gender-affirming care support program
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

The salary range for this role is $133,000-$192,000. 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.

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