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Machine Learning Manager

Company: PayPal, Inc.
Location: San Jose
Posted on: September 22, 2022

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.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 Data Science Organization to establish and scale Mahcine Learning/Artificial Intelligence capabilities in San Jose, USA. This person will be responsible for scaling Payments Data Science team to reach their potential in San J supporting Payments organization within PayPal.This leader 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 managing Data Science teams. They also need a strong results-focused business orientation, acollaborative and motivating style, and influencing skills to effectively interact withdiverse executive stakeholders. recruitment, training and retention of top-tier talent atall experience levels will be critical to success.Job Description:Key ResponsibilitiesIn your role, you will:
    • Recruit, build and retain a top-tier data science team that brings together top talent at all levels, cutting edge technology, and analytic innovation
    • Build, retain a top-tier Product members who understands Market needs, identifies real opportunities and influences stakeholder and being them to life to create positive impact to PayPal
    • Assess, inspire and motivate a high performing team of data science professionals
    • Develop impactful relationships with senior leaders in the Payments Business, stakeholders across the broader company, and leaders in the broader Data Science community
    • Design, develop and implement real-time, highly complex advance machine learning models to solve Payments business problems
    • Build ML/AI solutions and together with strong partnership with our Product Managers, 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.
    • 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.THE PERSONThis leader will play a key role in GDS organization who will utilize their expertise to build a high performing team. The ideal individual we seek is a professionally mature, confident who is comfortable and effective at all levels of the organization. S/He 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. S/He 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. 4+ years of supervisory experience.
      • Experience in building a strong team of data-scientists
      • Proven experience in solving open-ended business problems using data-science/ML/AI from initial ideation stage up to -delivering ready-to-use solution
      • Have a true passion for working on big data/ML/AI - -and professional experience in data mining, statistical analysis, predictive modeling, -managing product functions
      • 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
      • Strong Programming experience in C/C++, or Java, and skills in scripting languages such as Perl or Python. Familiar with various Machine Learning algorithms and Statistical methods
      • SQL and Hadoop / Other Big Data skills
      • Experience in Marketing/Fintech/Banking/Payment industry a strong plusSubsidiary:PayPalTravel Percent:0Our 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 Who We Are: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 .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.

Keywords: PayPal, Inc., San Jose , Machine Learning Manager, Executive , San Jose, California

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