refresh

トレンド企業

トレンド企業

採用

求人PayPal

Staff Data Scientist

PayPal

Staff Data Scientist

PayPal

San Jose, California, United States of America

·

On-site

·

Full-time

·

3w ago

The Company

Pay Pal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, Pay Pal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. Pay Pal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a Pay Pal or Venmo account balance, Pay Pal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our Pay Pal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

Job Description:

Pay Pal, Inc. seeks Staff Data Scientist in San Jose, CA

Job Duties: Lead end-to-end execution of A/B tests and causal analyses to evaluate feature performance, optimize user experience, and guide roadmap decisions. Conduct deep-dive analyses on customer behavior, product usage, and key business trends to identify insights that drive growth and retention. Synthesize findings into clear, compelling data stories for executive audiences, enabling confident, data-informed decisions. Shape priorities, framing key questions, and identifying opportunities where data can influence decision-making and accelerate growth. Define success metrics and develop automated monitoring frameworks that reflect experimentation standards and support scalable decision-making. Collaborate with software and data engineering teams to ensure scalable data pipelines, instrumentation quality, and alignment with Pay Pal’s long-term data and experimentation strategy. Mentor junior data scientists, fostering technical development, problem-solving excellence, and business acumen across the team. Champion experimentation best practices and help evolve Pay Pal’s measurement frameworks, platform capabilities, and tooling. Utilize expertise with controlled experimentation—including the design, execution, and analysis of tests that guide product launches, feature iteration, and strategic decision-making. Partial telecommuting permitted from within a commutable distance.

Minimum Requirements: Master’s degree, or foreign equivalent, in Computer Science, Engineering, Statistics, or a closely related field plus six years of experience in the job offered or a related occupation. Employer will accept a Bachelor’s degree, or foreign equivalent, in Computer Science, Engineering, Statistics, or a closely related field plus eight years of experience in the job offered or a related occupation.

Special Skill Requirements:

  1. Experience analyzing massive datasets using SQL and distributed systems (Hive, Presto, or Big Query) with a focus on performance and data quality (6 years).

  2. Experience communicating analytical insights through clear visualizations and narratives using Tableau and Python to influence product strategy (6 years).

  3. Experience designing and analyzing controlled experiments and applying rigorous statistical inference to evaluate product and business impact (5 years).

  4. Experience in causal modeling techniques such as propensity score matching, difference-in-differences, and instrumental variables to uncover true treatment effects (5 years).

  5. Experience building and validating statistical and machine learning models in Python for segmentation, prediction, and behavioral insights (4 years).

  6. Experience in development of scalable experimentation framework/platform and measurement pipelines to enable robust and automated impact evaluation (4 years).

  7. Experience defining success metrics and KPIs to measure business outcomes, translating statistical findings into actionable recommendations (4 years).

  8. Experience in applied causal inference methods to measure marketing effectiveness, including MMM and geo-experiments, to optimize campaign performance (2 years).

  9. Experience in statistical modeling for financial risk and anomaly detection problems, ensuring rigor in regulated and high-stakes domains. (2 years).

Additional Responsibilities & Preferred Qualifications:

EOE, including disability/vets.

The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:

Primary Location | Pay Range:

San Jose, California | Salary: $225,077.00-300,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

Must be legally authorized to work in the U.S. without sponsorship

Subsidiary:

Pay Pal

Travel Percent:

0

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.

For the majority of employees, Pay Pal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the Pay Pal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At Pay Pal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Who We Are:

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion

Pay Pal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, Pay Pal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Belonging at Pay Pal:

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at Pay Pal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at Pay Pal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

PayPalについて

PayPal

PayPal

Public

PayPal Holdings, Inc. is an American multinational financial technology company operating an online payments system in the majority of countries that support online money transfers; it serves as an electronic alternative to traditional paper methods such as checks and money orders.

25,000+

従業員数

San Jose

本社所在地

$70B

企業価値

レビュー

3.6

10件のレビュー

ワークライフバランス

3.8

報酬

3.5

企業文化

3.2

キャリア

3.0

経営陣

2.5

65%

友人に勧める

良い点

Flexible hours and remote work options

Good team culture and supportive colleagues

Excellent health benefits

改善点

Poor management and lack of communication

High pressure and stressful work environment

Long hours and high workload

給与レンジ

16件のデータ

Junior/L3

Mid/L4

Senior/L5

Intern

Junior/L3 · DATA SCIENCE 1

2件のレポート

$160,000

年収総額

基本給

$150,000

ストック

-

ボーナス

-

$195,000

$195,000

面接体験

5件の面接

難易度

3.2

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 80%

ネガティブ 20%

面接プロセス

1

Application Review

2

Online Assessment

3

Technical Interview

4

Behavioral Interview

5

Hiring Manager Interview

6

Offer

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design