Senior Machine Learning Manager at Paypal

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.

When applying for a job you are required to create an account, if you have already created an account - click Sign In.Creating an account will allow you to follow the progress of your applications. Our system does have some requirements that will help us process your application, below are some guidelines for creation of your account:
Provide full legal First Name/Family Name – this is important for us to ensure our future hires have the right system set up. Please Capitalize first letter of your First and Last Name.Please avoid using fully capitalized text for your First and/or Last Name.NOTE: If your name is hyphenated or has multiple capitalization, please use the same format as your government ID.
Job Description Summary:
PayPal is looking for a key leader in the Global Analytics and  Data Science Organization to manage and grow a team of ML Scientists. This person will be responsible for managing a significant portfolio of ML solutions and models which fuels personalization of payment and financial services. This leader needs to have a strong background in Machine Learning, practical experience in building and guiding the team on large scale predictive models to solve business problems, bringing insights and identifying additional opportunities to show and grow impact.
We are looking for a strong results-focused leader with a collaborative and motivating style, and can communicate machine learning to diverse executive stakeholders. Recruitment, training and retention of top-tier talent at all experience levels will be critical to success.
Job Description:
The Position
PayPal is looking for a key leader in the Global Analytics and  Data Science Organization to manage and grow a team of ML Scientists. This person will be responsible for managing a significant portfolio of ML solutions and models which fuels personalization of payment and financial services. This leader needs to have a strong background in Machine Learning, practical experience in building and guiding the team on large scale predictive models to solve business problems, bringing insights and identifying additional opportunities to show and grow impact.
We are looking for a strong results-focused leader with a collaborative and motivating style, and can communicate machine learning to diverse executive stakeholders. Recruitment, training and retention of top-tier talent at all experience levels will be critical to success.
Key Responsibilities
In your role, you will:
Assess, inspire and motivate a high performing team of data science and ML professionals Develop impactful relationships with senior leaders in the PayPal Consumer Business, stakeholders across the broader company, and leaders in the broader Data Science community Design, develop and implement real-time and batch advanced machine learning models to solve business problems such as Personalization of Incentive and Rewards Programs, Personalization of Product experiences including UI Flows and Lifecycle modeling of customer journey. Build ML/AI solutions and together with strong partnership with our engineering group and PayPal's Platforms organization. Communicate complex concepts and the results of the models and analyses to technical and non-technical audience. Be able to influence partners and customers. 
Interpret and effectively defend approaches to Internal Legal and Compliance teams. Be a true thought leader for our organization (and PayPal overall) and contribute significantly to develop the next generation of applicable AI technologies for the company. 
Who you are:
This leader will play a key role in Consumer Machine Learning Organization to grow machine learning that is in nascent stages in our key payment and financial services. The ideal individual we seek is a professionally mature, confident who is comfortable and effective at all levels of the organization. They will use their prior experience to deploy data science and machine learning solutions with modern technology in a business setting. This person will leverage their years of experience in driving positive impact on customers by leveraging machine learning and predictive analytics. The candidate will be seen as a strategic thought partner, capable of communicating and influencing senior leadership. They will have the ability to collaborate across the organization and enterprise, building relationships with key stakeholders.
Advance degree (MS or PhD) in science or engineering field with 8+ years of relevant experience. 3+ years of supervisory experience. Experience in building and hiring a strong team of machine learning scientists. Proven track record in solving open-ended business problems using data-science/ML/AI from initial ideation stage up to delivering adoption. Industry experience with usage of leveraging the tools for scaling machine learning models such as Hadoop, Spark, etc Industry experience in data mining, statistical analysis, predictive modeling. 
Strong problem solving skills, business acumen, and communication skills Proven experience in working with multiple partner groups to drive longer term strategies within a matrix-based organization Experience in Marketing/Fintech/e-Commerce industry a strong plus 
Additional Job Description:
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.
The U.S. national annual pay range for this role is
$107300 to $259600
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.