채용
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Parental Leave
•Paid Time Off
•Healthcare
•401k
•Equity
•Parental Leave
Required Skills
Python
R
SQL
Data Analysis
Statistics
At e Bay, 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.
Want to help change the future of retail? Are you looking for a unique and visible role supporting Trust Analytics at e Bay?
Fast-paced, dynamic, and proactive, e Bay’s Trust team is dedicated to making e Bay a safe and trusted platform for the millions of buyers and sellers who make up the e Bay community.
Key Trust team initiatives at e Bay involve platform communications, seller protections and policy experiences, buyer and seller feedback, the e Bay Money Back Guarantee, and seller performance policy. The Trust team is committed to maintaining and enhancing e Bay as a safe and reliable marketplace for our hundreds of millions of customers worldwide. The team focuses on continuously improving the customer experience to ensure it remains the most secure and trusted global marketplace.
- As a Data Scientist in the Trust team at e Bay, you will work directly with the Trust business unit (and partner teams
- Product, Engineering, Design) to identify opportunities, assess impacts, and integrate insights into operational strategies. Your role will involve using predictive analytics to guide marketplace decisions, ensuring that solutions align with organizational goals while adapting to changing market and economic conditions. Additionally, you will develop the overall infrastructure and operational strategy to achieve measurable impact and scalability across the Trust organization's focus areas.
Responsibilities:
-
Drive Strategic Insights: Apply strategic, operational, and analytics processes to secure agreement for long-term solutions, influencing leaders across the Trust organization and fostering a culture of achieving goals.
-
Analyze & Identify Opportunities: Conduct analysis of key issues to identify significant opportunities for improving customer experience and trust for buyers and sellers on the platform.
-
Define & Monitor Metrics: Develop Key Performance Indicators (KPIs) to track the trust experience of users on the platform. Monitor these metrics to understand the underlying causes of metric movements.
-
Accountability & Results: Define business objectives and measure progress in achieving results. Commit to goals and lead complex projects focused on enhancing customer experience, and delivering top- and bottom-line results for e Bay.
-
Cross-Functional Collaboration: Partner with leaders in Trust, Product Management, Engineering, and Design to integrate insights into operational strategies.
To be successful in this role:
-
Educational Background & Experience: BA/BS degree with 3 years (or Masters/PhD with 1 years) of relevant experience across at least two areas like Quantitative Research, Analytics, or Data Science.
-
Data Analysis Expertise: Skilled in recognizing trends and implications within data to support informed decision-making.
-
Technical Skills: Proficiency in programming (Python/R) and data querying (SQL).
-
Problem-Solving: Strong creativity in solving problems.
-
Execution & Results: Proven ability to deliver results in challenging situations.
-
Customer Advocacy: Experience in acting as the voice of the customer, synthesizing diverse views to achieve alignment.
-
Communication with Leaders: Ability to convey insights drawn from data to senior-level executives.
Additionally, the following background and experience is helpful:
-
Prior experience marketplace Trust
-
Ability to present complex analyses and insights effectively in simple terms.
-
Experience in a leading technology company.
-
Background in e-commerce product.
-
Experience with Natural Language Processing or LLM/GenAI is a plus.
The base pay range for this position is expected in the range below:
C**$85,600** - C**$114,300**
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 RRSP eligibility, 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.
This job posting relates to an existing vacancy within e Bay.
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, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talentebay.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.
Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. The eBay Careers website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
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About eBay

eBay
PublicBuy, sell, and discover.
10,001+
Employees
San Jose
Headquarters
Reviews
3.8
5 reviews
Work Life Balance
4.2
Compensation
2.5
Culture
4.0
Career
2.8
Management
3.5
Pros
Good work-life balance
Great culture and environment
Nice colleagues and supportive people
Cons
Limited opportunities for growth
Old technology and systems
Call quotas and difficult customers
Salary Ranges
2,741 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Data Science Analyst 2
1 reports
$174,200
total / year
Base
$134,000
Stock
-
Bonus
-
$174,200
$174,200
Interview Experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Online Assessment (CodeSignal)
3
Technical Phone Screen
4
Technical Interview Rounds
5
Final Review
Common Questions
Coding/Algorithm
Technical Knowledge
Problem Solving
Data Structures
News & Buzz
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