Lead Data Scientist

The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Description Summary:
We are seeking a highly motivated team player with strong analytical skills who specializes in creating, driving, and executing projects. As a Senior Data Scientist, this person will be providing data-driven solutions for managing and optimizing the AI models for GSICPI Workforce Planning and Management program at PayPal. This role will primarily involve in developing and optimizing forecasting models, schedule optimization models, and enhanced affinity scoring models for routing and prioritization of leads delivery. This role will be supporting data exploration, extraction, configuration, modeling, and developing solutions to improve customer experiences. This person will also be working closely with our technology partners in defining requirements, global operations partners, identifying and driving sustainable operational improvements, as well as with the product development partners to ensure proper implementation of the solution. If you are a driven, analytical thinker that values collaboration, continuous learning, and problem-solving, we would love to hear from you.
Job Description:
Responsibilities:
Design and develop forecasting and optimization models using Python libraries such as scikit-learn, PuLP and other linear programming packages on GCP
Perform data exploration, pre-processing and feature engineering to prepare data for modeling using GCP data storage and processing technologies such as BigQuery, Dataflow, and Cloud Storage
Work closely with business partners to translate service center business requirements into modeling requirements
Analyze and interpret the results of the models and communicate the findings to stakeholders
Optimize and fine-tune the models for better performance
Update the optimization and forecast models for new or altered business logic in future
Adhere to software engineering best practices while collaborating with data engineers & ML engineers using GitHub, Jira, etc.
Partner with stakeholders (Product, Technology, Operations) to continually improve/optimize models
Share findings by organizing the data results into easy-to-understand frameworks using Tableau or other visualization tools

Qualifications:

Master's degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics
6+ years of experience with machine learning, experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions
Must have Python proficiency
Must have proficiency writing complex SQL queries
Must have proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation, and optimization (including linear programming) problems on large scale data sets. Ideally experience with timeseries forecasting as well.
Must have proven ability to merge and transform disparate internal & external data sets together to create new features
Experience with supporting deployment, monitoring, maintenance, and enhancement of models in production environment (GCP)
Experience with data visualization tools preferred - Tableau, Seaborn, Plotly, etc.
Ability to independently manage, organize and prioritize multiple tasks, projects, and responsibilities
Well-developed research and analytical skills with good problem solving and lateral thinking ability
Analysis of existing applications to identify weakness and develop opportunities for improvements
Ability to rapidly learn new concepts (technical, risk, business) a critical success factor in this role
Team-oriented, must be self-motivated, plan and manage time effectively, and be customer-focused
Detailed, thorough, diligent individual with robust data analysis, and time management skills
Proven ability to function well independently as well as in a team
Excellent verbal and written communication skills with the ability to articulate concepts and ideas to diverse audiences
Experience within the financial industry, with payments/ (e-Commerce knowledge preferred)

Preferred Qualifications:

Experience in risk management (Sanctions, AML, Fraud, Credit, Compliance, CIP/KYC etc.)
Experience in payments industry

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 visithttps://www.paypalbenefits.com.

Who We Are:
Click Hereto 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 ******.

Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, pleaseJoin our Talent Community.

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