Manager, Data Science 2

Key Skills

Analytical and Problem solving, Big Data Technology, Data science techniques, Google BigQuery, Linux Operating system, Machine learning techniques, SQL

Job Description

What you need to know about the role:

This position is part of Global Data Science and Analytics organization. Leading Data Science and Machine Learning team that owns data science solution development and maintenance for PayPal Back Office workforce management.

Meet our team:

You will be working with Machine Learning experts around the world, solving good variety of business problems to support PayPal back office efficiency, including detection, automation, optimization and forecast. You will have the opportunity to engage with product, analytics and operation experts to understand the business problems, come up with data science solutions, leveraging PayPal’s world class machine learning platform to research and build AI models or products that have direct impact to PayPal customer and operation efficiency.

Your way to impact:

You will work as a machine learning scientist to:

• Boost PayPal’s back office efficiency using data science

• Team building for employee engagement and productivity

• Scale automated work force management and planning.

• Bring value to PayPal business using internal and external data.

Your day to day

In your day to day role you will:

• Identify and address data science problems during normal course of work and respond to risk mitigation needs quickly to solve issues with minimum guidance.

• Participate in the formulation and implementation of data science solutions or pipelines

• Exercise judgment in selecting methods, techniques, and evaluation criteria for obtaining results on matters of significance to the business

• Look for improvement and innovation opportunities with business impact. Provide a source of high-quality ideas.

What do you need to bring-

• 2+ years of managerial experience of data scientist or engineers

• Proficiency with data science and statistical analysis framework and algorithms. For example: time series modelling, neural network, GBM, optimization algorithm

• Ability to communicate effectively with professional with various backgrounds.

• Expertise in analyzing, visualizing and manipulating big datasets

• Proficiency with SQL or Big Query

• Familiarity with Linux and big data

• Impeccable analytical and problem-solving skills

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.