Director Data Science, eBay Live

eBay

San Jose (CA)

On-site

USD 209,000 - 279,000

Full time

43 hours ago
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Job summary

eBay is seeking a Director of eBay Live Data Science to set the vision and lead a team of analysts and data scientists to drive proactive insights and identify growth opportunities for customers.

This senior leader will bring deep background in statistics, mathematics, and/or engineering, focusing on customer-centered analytical solutions to influence strategic decisions and scale analytics across the Live business.

Qualifications

  • 12+ years of experience analyzing large data sets in analytics and data science within a large global company.
  • Master’s degree or equivalent in CS, Math, Physics, or Engineering.
  • Ability to collaborate across business, product, marketing, technology, and finance to implement analytics roadmap.
  • Strong communication and leadership skills with a track record of driving business impact.
  • Experience with R and Python and statistical modeling.

Responsibilities

  • Scale the capabilities of the Data Science team to drive better business decisions.
  • Develop globally consistent analytical frameworks and metrics to understand customer and business impact.
  • Manage product analytics team, perform discovery analytics and drive best practices in experimentation.
  • Apply data and behavioral science to solve customer problems.
  • Develop automated self-serve dashboard solutions.
  • Provide technical expertise in developing methods for measuring business performance and research tools and techniques.
  • Coordinate with data infrastructure teams to unlock new insights with new datasets.
  • Support training, development, recruiting, and inspiration in the decision science team.
  • Communicate with and present regularly to eBay’s executives and leadership team.

Skills

Analytics leadership
Data science
Statistical modeling
Experimentation
Team leadership
Stakeholder communication

Education

Master's degree or equivalent in CS/Math/Physics/Engineering

Tools

R
Python

Job description

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

The Role

The Director of eBay Live Data Science will be responsible for setting the vision and strategy to create the thinking, systems, and processes to advance our business through Data Science and Analytics. This role will lead a team of analysts and data scientists to drive proactive insights and identify growth opportunities for our customers.

This leader will bring technical, analytical, and strategic strengths with a deep background in statistics, mathematics, and/or engineering. We are looking for a very customer-focused data science senior leader who can contribute and build breakthrough, outstanding analytical solutions to help solve sophisticated problems and drive key business decisions. Analytics at eBay is a multidisciplinary craft and it is foundational; it is a strategic arm that heavily influences critical decisions made by eBay leaders.

Responsibilities
  • Scale the capabilities of the Data Science team to drive better business decisions for the eBay Live business, product and cross-functional initiatives.
  • Develop globally consistent analytical frameworks and metrics to better understand the customer and business impact of our product teams so that eBay can optimize investments and drive growth.
  • Manage product analytics team, perform discovery analytics and drive best practices in experimentation.
  • Apply data and behavioral science to solve customer problems.
  • Develop outstanding automated self-serve dashboard solutions.
  • Provide technical expertise in developing methods for measuring business performance and research the use of sophisticated mathematical, statistical, and experimental tools & techniques
  • Articulate requirements and coordinate with data infrastructure teams to increase availability of new internal and external tools and datasets in to unlock new insights.
  • Support training, development, recruiting, and inspiration in the decision science team.
  • Communicate with and present regularly to eBay’s executives & leadership team.
Job Requirements
  • Confirmed analytics and data science leader that has built impactful analytical capabilities within a large global company
  • 12+ years of experience analyzing large, sophisticated, multifaceted data sets in relational databases and non-relational databases using querying languages and analytics automation tools.
  • Strong technical and quantitative background with master’s degree or equivalent experience in computer science, Math, Physics, or Engineering.
  • Ability to collaborate with key partners in a fast-paced and highly matrixed environment including business, product, marketing, technology, and finance in order to plan and implement eBay’s analytics roadmap.
  • Highly analytical, strategic, and diligent, with a dedication to excellence and a passion for understanding the business implications of analyses.
  • Ability to influence and drive execution across organizational lines.
  • Experience with data and analytical tools including R and Python.
  • Knowledge of statistics (e.g., multivariate statistics, predictive modeling, controlled test design).
  • Excellent management, recruiting, mentor, team-building, and organizational skills.
  • Ability to identify and take on critical projects, as well as lead multiple projects simultaneously in a dynamic, changing environment.
  • Willing to take calculated risks and make decisions with imperfect information.
Additional Details

The base pay range for this position is expected in the range below:

$209,200 - $279,300

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Remote roles are not eligible for U.S. visa sponsorship.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center and AI Hiring Guideline.

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