Job Description

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Job Description Summary:

GDS is looking for an experienced Machine Learning Scientist with a passion to solve interesting problems in Consumer product and marketing domains. We leverage the state of the art machine learning techniques to solve very challenging and impactful business problems and drive the key KPIs for the company

Meet our team

PayPal is a global leader in online payments and democratization of financial services, providing payment solutions for hundreds of millions of customers all over the world. As a Machine Learning Scientist in PayPal’s Global Data Science organization, you will have the opportunity of making use of PayPal's big data platform to develop advanced machine learning solutions to solve sophisticated problems in the domain of Product and Marketing solutions leveraging your data and machine learning skills. This role offers a unique opportunity to innovate and improve PayPal’s data science and machine learning capabilities for better customer experience.

Job Description:

Your way to impact

The role is central to PayPal’s key Machine Learning models in the Product and marketing domain. As a ML scientist, you will work on state-of-the-art models to improve customer experience, Optimize ROI of marketing campaigns, detect abuse in marketing campaigns and other interesting problems in Ranking and recommendations which directly impact the company’s top and bottom lines

Your day to day

As a Machine Learning Scientist you will be responsible for:

• Developing state-of-the-art Machine Learning solutions to solve impactful business problems
• Working with partners to formulate business challenges into data science and machine learning problems and recommend actionable insights for solutions delivered 
• Productionalizing and automating large scale end-to-end data solutions in close collaboration with our engineering teams
• Mentor other team members and provide technical leadership for a domain in the team
• Collaborate with several teams and organizations to drive the development and adoption of solutions

What do you need to bring-

• Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 6+ yrs. of relevant industry experience or PhD with 4+ yrs. of relevant experience
• Experience in any one of Recommendation, Ranking, Product and Marketing domains a big plus
• Proficient in one or more programming languages such as Python, Java, Scala, SQL, Hive,  etc.  
• Familiarity in relevant machine learning frameworks and packages such as Tensorflow and PyTorch
• GCP/Hadoop and big data experience – an advantage
• Experience leading ML projects and great track record delivering solutions with attention to detail and efficiency
• Expertise in at least one of the following ML domains (Deep learning, reinforcement learning, graph modeling, Learning to Rank, Recommendations, growth marketing models, Regression modeling)
• Experience shipping Realtime models a big plus
• Leverage indirect influence with stakeholders and others in the organization to drive change
• Fluent spoken and written English communication with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insights

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

Subsidiary:

PayPal

Travel Percent:

0

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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.

The U.S. national annual pay range for this role is

$96900 to $234300

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.

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.

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.

As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

Skills Required