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Job Description Summary:
As a manager, machine learning 2 in PayPal's Global Data Science organization, you will have an impact on PayPal's products all around the world. Our machine learning scientists team works to better understand our end-users, identify opportunities and improve our products by creating personal and smart experiences. Making use of PayPal's endless amount of data, you will lead a team of machine learning scientists to leverage data and machine learning skills for the research and delivery of end-to-end ML solutions.
If you are a manager/tech lead of machine learning, with a passion for mentoring and leading machine learning scientists, deriving new insights, solving unique challenges, leveraging machine learning algorithms, and working in a highly collaborative, values-driven environment - then PayPal's Global Data Sciences (GDS) is looking for you.
Job Description:Job Description
-Manage a team of high performing machine learning scientists, including project oversight, mentoring, and career development
-Work cross-functionally to understand business questions and lead project scoping and design to answer those questions with machine learning solutions
-Use cutting-edge machine learning/AI techniques, and provide thought leadership to create innovative solutions
-Lead the projects through the entire modeling lifecycle, including model design, development, implementation, and governance
-Coordinate and lead multiple projects with diverse multi-functional partners
-Communicate complex concepts and the results of the analyses clearly and effectively to stakeholders of varying technical levelsRequirements
-Advanced degree (MS or PhD) in quantitative science or engineering field (Computer Science, Statistics, Mathematics, Operation Research, etc.)
-3-5 years of relevant professional industry experience and 1+ years of management or tech lead experience
- Hands-on experience with various machine learning algorithms and statistical methods
-Strong problem solving and communication skills
-Proficiency in languages used for querying (e.g. SQL/Hive/Pig/Spark), preprocessing (e.g. Unix/Python), and statistical analysis (e.g. Python/R)
-Have a passion for mentoring and coaching junior machine learning scientists to grow
-Credit risk modeling experience is a strong plus
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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
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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.
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