Machine Learning Scientist 2

1 Month ago • Upto 1 Years • Legal

About the job

Job Description

PayPal seeks a Machine Learning Scientist to boost risk detection efficiency, prevent fraud, improve customer experience, and bring value to the business using data science and machine learning algorithms. Must-have skills include proficiency with machine learning frameworks, Python libraries, data analysis, and SQL.
Must have:
  • Machine Learning
  • Python Libraries
  • Data Analysis
  • SQL Proficiency
Good to have:
  • Deep Learning
  • GBDT Algorithms
  • Neural Networks
  • Big Data Familiarity
Perks:
  • Flexible Work
  • Employee Shares
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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 Description Summary:

This position is for recent graduates and is part of the Global Data Science and Analytics organization. Leading Data Science and Machine Learning solutions development and maintenance for PayPal Seller Risk domain.

Job Description:

our way to impact

You will work as a machine learning scientist to:

  • Boost PayPal’s risk detection efficiency using data science
  • Prevent PayPal from fraud and financial crimes.
  • Improve PayPal customer experience by providing automation solutions.
  • Bring value to PayPal business using internal and external data

Your day to day

In your day to day role you will

  • Identify and address data science problems during normal course of work and respond to risk mitigation needs quickly to solve issues with minimum guidance.
  • Participate in the formulation and implementation of machine learning solutions
  • Exercise judgment in selecting methods, techniques, and evaluation criteria for obtaining results on matters of significance to the business
  • Look for improvement and innovation opportunities with business impact. Provide a source of high-quality ideas. 

What do you need to bring-

  • Master's degree graduates from late 2023 to 2024, majoring in big data, algorithms, mathematics, computer science, etc.
  • 0-1 year of proficiency with machine learning framework and algorithms. For example: deep learning, GBDT, neural network, GBM
  • Proficiency with Python and libraries for machine learning such as scikit-learn and pandas, pytorch etc.
  • Expertise in analysing, visualizing and manipulating big datasets
  • Proficiency with SQL or BigQuery
  • Familiarity with Linux and big data
  • Impeccable analytical and problem-solving skills 

globaluniversitygraduatemachinelearning

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

0

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.

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 talentaccommodations@paypal.com.  

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.

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.

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About The Company

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San Jose, California, United States (Hybrid)

San Jose, California, United States (Hybrid)

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New York, New York, United States (Hybrid)

Milan, Lombardy, Italy (Hybrid)

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