채용
복지 및 혜택
•Healthcare
•401(k)
•Equity
•Parental Leave
필수 스킬
Data Analysis
Machine Learning
SQL
Python
R
A/B testing
Statistical analysis
Communication
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.
About The Role And Team
We are seeking a Data Scientist to lead our efforts in optimizing Performance Marketing business through advanced analytics and data science techniques. The ideal candidate will have a strong background in data science, analytics, and has exposure to Paid Marketing, and will be responsible for driving experimentation, budget optimizations, defining KPIs as well as unlocking new growth opportunities.
Responsibility
- Execute end-to-end projects autonomously, from problem definition to the communication of actionable recommendations.
- Analyze e Bay’s comprehensive datasets, deriving insights to diagnose root causes of trends and enhance the user experience.
- Construct machine learning models for predicting user behaviors and inferring marketing performance, supporting business decisions with reliable outputs.
- Quantify and optimize the performance of marketing initiatives based on data-driven insights, identifying key drivers and new opportunities by focusing on high-impact metrics. Conduct deep-dive analyses into campaign performance to determine efficacy and underlying causal factors.
- Mine data to optimize marketing campaigns, revenue growth, and the customer experience, including customer segmentation analysis for audience understanding.
- Formulate strategies for channel optimization and content development.
- Design, develop, and implement experimentation frameworks, such as A/B testing and uplift modeling, to rigorously measure marketing effectiveness.
- Develop and implement solutions for Marketing Attribution (MTA).
- Provide data infrastructure support, including the design of self-service tools, dashboards, and related assets.
- Communicate business performance metrics to stakeholders clearly, concisely, and insightfully.
- Develop, refine, and systematize reporting to ensure clarity and accuracy. Streamline existing processes and implement opportunities for automation and efficiency gains, leading the automation of recurring tasks.
The role involves translating complex business challenges into a scientific formulation suitable for an **AI/Analytics Product solution.**This individual will define requirements and collaborate with engineering teams to build and productionalize AI-enabled Analytics Products.
Job Skills required:
- Demonstrated intellectual curiosity, a strong passion for complex problem-solving, and the ability to thrive in ambiguous situations.
- A profound dedication to understanding and serving the distinct community of e Bay.
- Possesses sound business sense and robust quantitative analytical capabilities.
- Exhibits strong communication proficiencies and proven experience translating complex quantitative analysis into actionable recommendations.
- Comprehensive understanding of various machine-learning methodologies (including, but not limited to, regression, clustering, and decision tree learning) and their practical advantages and limitations.
- Functions as an effective team contributor, collaborating seamlessly and consistently promoting successful team interactions.
- Previous experience or profound domain expertise in Performance Marketing and/or Brand Marketing is highly desirable.
Desired Qualifications
- Bachelors or equivalent in Mathematics, CS, Statistics, Economics, Business, or other related fields.
- 7 years hands-on work experience in data analysis, with a focus on onsite web analytics, A/B testing, machine learning and report automation.
- Skilled in database query tools using SQL, and Hadoop experience is a plus.
- Good Excel and PowerPoint skills, proficiency with statistical analysis tools such as Python or R.
- Knowledge of AI tools and techniques, such as Gemini, GPT, LLMs etc.
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 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 for people with disabilities.
Additional Details:
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 Guidelines.
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eBay 소개

eBay
PubliceBay Inc. is an American multinational e-commerce company based in San Jose, California, that allows users to buy or view items via retail sales through online marketplaces and websites in 190 markets worldwide.
10,001+
직원 수
San Jose
본사 위치
$28.1B
기업 가치
리뷰
3.8
5개 리뷰
워라밸
4.2
보상
2.5
문화
4.0
커리어
2.8
경영진
3.5
장점
Good work-life balance
Great culture and environment
Nice colleagues and supportive people
단점
Limited opportunities for growth
Old technology and systems
Call quotas and difficult customers
연봉 정보
2,731개 데이터
Mid/L4
Mid/L4 · BUSINESS PROCESS ANALYST 2
3개 리포트
$112,000
총 연봉
기본급
$97,196
주식
-
보너스
-
$112,000
$112,000
면접 경험
4개 면접
난이도
3.0
/ 5
소요 기간
14-28주
경험
긍정 0%
보통 75%
부정 25%
면접 과정
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
뉴스 & 버즈
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