Senior Data Scientist

Stub Hub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want Stub Hub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world.

We're on the lookout for an accomplished Senior Data Scientist to join the Data Engineering & Analytics team  this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within Stub Hub's dynamic ecosystem.

Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of Stub Hub's consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities.

About the Role:
As a Senior Data Scientist, you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams-first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle.

Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential.

Location:

Hybrid (3 days in office/2 days remote) - New York, NY or Santa Monica, CA

What You'll Do

• Build and understand modeling related to one of four possible areas at Stub Hub:
  Experimentation, Forecasting, Pricing or Customer Acquisition
• Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences
• Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing
• Find and develop your own roadmaps with business partners and carry out project management and execution of your own work
• Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups
• Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity across your team

What You've Done

• 7-11 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred.
• Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,Spark
  
  SQL, Big Query, Snowflake, Databricks), with high proficiency with query languages like SQL
• Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, Num Py, Sci Py, scikit-learn)
• Experience in building production level models in cloud environments (e.g., AWS, Azure)
• Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have
• Passionate about working with non-technical stakeholders to understand, anticipate, and deliver on their data needs

What We Offer

• Accelerated Growth Environment:
  Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
• Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions.
• Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as…