Staff Data Scientist

20 Minutes ago • 8 Years + • $152,500 PA - $262,350 PA

Job Summary

Job Description

The Staff Data Scientist – FP&A Data Engineering will directly report to and support Sr Director of FP&A Technologies in development and execution of strategic transformation programs & initiatives, and strategic engineering architecture design from AI / ML Perspective to support our Finance Stakeholders. The nature of role is strategic, analytical and highly collaborative, working with team members across World and also as a liaison for transformation and AI/ML projects.
Must have:
  • Design, develop, and deploy machine learning models using GCP services.
  • Build and optimize scalable pipelines for data collection, preprocessing, and feature engineering.
  • Collaborate with data engineers to design ETL pipelines and manage large datasets on GCP.
  • Develop custom machine learning models (supervised, unsupervised, reinforcement learning).
  • Integrate AI/ML models into cloud applications and ensure seamless operation.
  • Work closely with software engineers to embed AI/ML models into applications.
  • Conduct research to stay up-to-date with AI/ML techniques.
  • Perform model tuning, evaluation, and monitoring.
  • Provide mentorship and guidance to junior developers.
  • Ensure security, scalability, and performance of ML models.
  • Minimum of 8 years of relevant work experience.
Good to have:
  • Master's degree or higher in Computer Science, Mathematics, or related field.
  • Proven experience in developing and implementing solutions in machine learning and AI.
  • Strong programming skills in Python, Java, or C++.
  • In-depth knowledge of machine learning frameworks (TensorFlow, PyTorch).
  • Experience with cloud services related to machine learning (Vertex AI).
  • Excellent problem-solving skills.
  • Strong communication skills.
  • Strong knowledge of algorithms, statistics, data structures, distributed systems, and software engineering best practices.
  • Proven experience leading and delivering complex ML projects at production scale.
  • Experience integrating ML solutions into cloud environments (AWS, Azure, GCP).
Perks:
  • flexible work environment
  • employee shares options
  • health and life insurance
  • medical, dental, vision, and other benefits

Job Details

The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal 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. PayPal 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 PayPal or Venmo account balance, PayPal 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 PayPal, 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:

The Staff Data Scientist – FP&A Data Engineering will directly report to and support Sr Director of FP&A Technologies in development and execution of strategic transformation programs & initiatives, and strategic engineering architecture design from AI / ML Perspective to support our Finance Stakeholders. The nature of role is strategic, analytical and highly collaborative, working with team members across World and also as a liaison for transformation and AI/ML projects.

Job Description:

Essential Responsibilities:

  • Design, develop, and deploy machine learning models using GCP services such as AI Platform, BigQuery ML, Vertex AI, TensorFlow, and AutoML.
  • Build and optimize scalable pipelines for data collection, preprocessing, and feature engineering.
  • Collaborate with data engineers to design ETL pipelines and manage large datasets on GCP.
  • Develop custom machine learning models tailored to business needs, including supervised, unsupervised, and reinforcement learning algorithms.
  • Integrate AI/ML models into cloud applications and ensure seamless operation in production environments.
  • Work closely with software engineers to embed AI/ML models into applications and products, ensuring best practices for CI/CD in ML.
  • Conduct research to stay up-to-date with the latest AI/ML techniques and apply them to business use cases.
  • Perform model tuning, evaluation, and monitoring for performance and accuracy improvements.
  • Provide mentorship and guidance to junior developers and contribute to code reviews, technical design sessions, and project planning.
  • Ensure security, scalability, and performance of ML models deployed in production.

Minimum Qualifications:

  • Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

Preferred Qualifications:

  • Master's degree or higher in Computer Science, Mathematics, or related field with keen interest in Machine Learning and AI
  • Proven experience in developing and implementing solutions in machine learning and AI-related spaces
  • Strong programming skills in languages such as Python, Java, or C++
  • In-depth knowledge of machine learning frameworks and libraries for analytics and text processing (e.g., TensorFlow, PyTorch)
  • Experience with cloud services related to machine learning (Vertex AI, etc.)
  • Excellent problem-solving skills and the ability to work in a fast-paced environment
  • Strong communication skills to effectively collaborate with team members and stakeholders
  • Strong knowledge of algorithms, statistics, data structures, distributed systems, and software engineering best practices
  • Proven experience leading and delivering complex ML projects at production scale
  • Experience integrating ML solutions into cloud environments (e.g., AWS, Azure, GCP) is highly desirable

Subsidiary:

PayPal

Travel Percent:

0

PayPal is committed to fair and equitable compensation practices.

Actual Compensation is based on various factors including but not limited to work location, and relevant skills and experience.

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit https://www.paypalbenefits.com

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The US national annual pay range for this role is $152,500 to $262,350

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us

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For the majority of employees, PayPal'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 PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, 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 benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com

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Who We Are:

Click Here

to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal 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, PayPal 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

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Belonging at PayPal:

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 PayPal 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 PayPal.

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About The Company

PayPal is on a mission to revolutionize commerce globally. We’re driving our company, industry, and society forward with vision and velocity. With our commitment to excellence, innovation, and talent, the possibilities are limitless. ​Learn more at. Learn more about privacy-related questions or data retention.

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