Full Job Description
We9re on the lookout for an accomplished Senior Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you9ll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub9s dynamic ecosystem.
Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of StubHub9s 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, you9ll 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. We9re 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 Century City, CA
What You9ll Do
3 Build and understand modeling related to one of four possible areas at StubHub: Experimentation, Forecasting, Pricing or Customer Acquisition
3 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
3 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
3 Find and develop your own roadmaps with business partners and carry out project management and execution of your own work
3 Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups
3 Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity across your team
What You9ve Done
3 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.
3 Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL
3 Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn)
3 Experience in building production level models in cloud environments (e.g., AWS, Azure)
3 Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have
3 Passionate about working with non-technical stakeholders to understand, anticipate, and deliver on their data needs
What We Offer
3 Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
3 Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
3 Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
3 Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.
The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate9s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub9s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits.
Salary Range
$200,000-$250,000 USD
