Senior Manager Live Data Science

eBay

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Jose, CA
Salary
$170,400–$227,500 / yr
Posted
16 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k
This role $199k
$156k most similar roles pay here $249k

This role pays less than 55% of similar roles. Most pay $164,951–$239,553 — the shaded band above. At the midpoint, this role pays about $199k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About eBay

eBay is a global e-commerce company that operates an online marketplace connecting buyers and sellers for a wide range of new and used goods.

eBay currently has 40 open roles on FindRole.

Listed pay typically runs $136,000–$214,700 across 40 roles with salary data.

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View all roles at eBay

At a glance

TL;DR · Senior Manager Live Data Science

Senior Manager eBay Live Data Science will join the team to develop the analytics and AI foundation driving discovery, engagement, and quality moderation for the interactive live shopping platform. This role involves managing end-to-end analytical projects, defining product metrics, and building data pipelines and tracking schemas in collaboration with engineering. The individual will focus on key pillars including seller success, marketplace risk modeling, and business performance to provide causal measurement and production-quality insights. Candidates must possess an MS in a quantitative field and over seven years of experience in analytics or data science. Required technical skills include SQL, Python, advanced experimentation, econometrics, statistical modeling, and dashboarding. The role requires translating complex analysis into executive-ready narratives while mentoring others to improve analysis quality across the live commerce product area.

What you'll do

  • Manage end-to-end analytical projects by prioritizing problems, selecting methodologies, and delivering actionable insights to stakeholders.
  • Design and execute experiments to inform product roadmaps and drive growth for live commerce features.
  • Develop data infrastructure including pipelines, tracking schemas, and curated datasets in collaboration with engineering teams.
  • Build and govern models for marketplace risk signals, fraud detection, and seller success metrics.
  • Create production-quality dashboards and automated reports to monitor business performance and identify risks.
  • Establish and enforce coding standards and quality guidelines while mentoring junior team members.
  • Translate complex data findings into clear narratives to influence decisions from senior leadership.

What we're looking for

  • MS in a quantitative field such as Statistics, Economics, or CS, or equivalent experience.
  • Typically 7+ years of experience in analytics or data science with multiple production-quality projects.
  • Proficiency in SQL and Python.
  • Experience in experimentation design, statistical modeling, and econometric modeling.
  • Ability to build dashboards and familiarity with marketplace dynamics and product analytics.
  • Ability to distill complex analyses into executive-ready narratives that influence product decisions.
  • Experience identifying data solution needs such as new pipelines, tracking schemas, and derived tables.
  • Ability to mentor others and lead technical projects from prioritization to presentation.

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