Senior Machine Learning Scientist

1 Month ago • 9 Years +

About the job

SummaryBy Outscal

PayPal seeks a Senior Machine Learning Scientist to build and implement large-scale predictive models for payment optimization. This role requires expertise in Machine Learning, statistical analysis, and experience in solving business problems with data-science/ML/AI. Strong communication skills are crucial to collaborate with diverse stakeholders.

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:

What you need to know about the role -
PayPal’s Global Data Science team is looking for a Machine learning Scientist to help us develop and enhance machine learning capabilities to innovate and improve our Payment products. This person needs to have a strong background in Machine Learning, practical experience in building and implementing large scale predictive models to solve business problems, bringing insights and identifying additional opportunities from Data & Machine Learning to market, and experience working with data science teams.

Meet our team -
This team is focused towards building Machine learning models to optimize payment specific metrics such as transaction expense, platform availability and latency. Payments is one of the key focus areas for PayPal as all the key metrics it directly impacts margin and revenue

Job Description:

Your way to impact -

  • Collaborate with other ML scientists, product managers and engineers to formulate innovative ideas, and test / implement through advanced data science technique 
  • Lead multiple projects focusing on impact as well as mentor junior members of the data science team 

Your day to day -

  • Design, develop and implement data-driven strategies and machine learning models for transaction expense reduction, Improving Availability and reduce latency reduction 
  • Create innovative features and data for payment strategies and models, align with stakeholders and implement these capabilities 
  • Communicate analysis results and complex concepts in a clear and effective manner 

What do you need to bring-

  • Professional industry experience in developing Machine learning models and performing statistical analysis  
  • 9+ years with advanced degree in Math, Statistics, or Computer Science 
  • Proven experience in solving open-ended business problems using data-science/ML/AI from initial ideation stage up to delivering ready-to-use solution 
  • High emotional intelligence, a can-do mentality and a creative approach to problem solving. 
  • High Proficiency in languages used for querying (e.g. SQL/Hive/Big Query), preprocessing and statistical analysis (e.g. Python), model building using H2O 
  • Strong verbal and written communication skills to express data science concepts and solutions to product managers, data scientists, business partners of varying technical levels, and influence and negotiate to reach alignment on how to execute strategies and improve models. 
  • Knowledge about financial domain and payments is a strong plus 

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 paypalglobaltalentacquisition@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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