26 days old

Data scientist/Technical product Manager - PayPal

San Jose, California
  • Jobs Rated

Who We Are

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 305 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom, enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

When applying for a job you are required to create an account, if you have already created account - click Sign In.

Creating an account will allow you to follow the progress of your applications.


Provide full legal first Name/Family Name

  • DO: Capitalize first letter of First and Last Name. Example: John Smith
  • DON'T: Capitalize entire First and/or Last Name. Example: JOHN SMITH
  • NOTE: Use correct grammar for Names with multiple cases. Example: McDonald or O'Connell

Provide full address details

Resume Is Required

Multiple attachments can be uploaded including Resume and Cover Letter for each application

Job Description Summary

PEAK (PayPal Enterprise Analytics Knowledgebase) team is part of the Global Analytics & Insights organization in PayPal. We provide data science solutions to many teams including the Finance, FP&A and Global analytics to help analyze and solve business problems. We deep dive with our partners to understand their needs, pinpoint “gaps” that needs to be addressed and then formulate solutions to solve critical business questions and problems.

PEAK team is the source of truth for many KPI like Actives, Activation, Reactivation & Churn numbers. We also classify and segment the PayPal customers on a daily and monthly basis. We provide many financial KPI for the company at both Plan and spot rate.

The PEAK Team is looking for a full time experienced, customer-oriented, business-focused, and analytically-driven Data scientist to help with the delivery of project portfolios commitments. In this role you will interface with teams, customer and leaders alike to ensure seamless technological support of business process by ensuring the technologies we support are not an inhibitor to the business process.

  • Ensure Quality - Base the delivery model on best practices to drive efficiency / manage risks
  • Operational Excellence - Deliver on all commitments with no business disruption
  • Be accountable for continuous improvements.
  • Communicate effectively to instill confidence, as well as build trust and strengthen partnerships

The role will be responsible for supporting global stakeholder departments and working domain leads and data citizens across different GEO’s such as Americas, EMEA, and Asia Pacific. Because the position requires interaction with geographically-disbursed teams so the candidate must be a self-starter with strong leadership qualities, project/task management skills, and analytical skills and comfortable working with distributed teams without direct management oversight day to day.

He/she must be able to contribute to programs/initiatives and collaborate with the financial stakeholders and users as well as with Global analytical teams to drive alignment and Support for PayPal. These accountabilities will be achieved through developing high trust relationships with internal and external customers, critical data analysis, attention to detail and a customer focus. Process development and optimization, as well as deliverables management will be a focus for the role.


Essential Functions (Tasks and Responsibilities)

  • Works with PayPal business units and Product Dev teams to design, develop and deliver data solutions on one of the largest data platforms in the world.
  • Product Ownership: Responsible for one or more highly complex product/project delivery. With minimal guidance, develops a product strategy for the specific area and leads project execution. Represents their product to customers and to peers across PayPal and is seen as a critical stakeholder for feedback on new feature ideas.
  • Data Area Owner: Go to person for their product's feature, design and domain details. Ability to present information about their product to stakeholders and senior management.
  • Requirements: Engage with internal or external customers for requirements. Ability to capture, document and present requirements without any assistance.
  • Problem Solving: Understand and provide inputs for the trade-offs in launching the feature. Successfully able to collaborate to resolve deadlocks and present feasible solutions. Ability to drive an agreement on a solution and its adoption.
  • Technical Expertise: Facilitate technical discussion for their product and provide feedback and inputs in the technical and architectural design. Ability to review the tech specs and architectural design docs.
  • Negotiation: Manage the expectation of internal and external customer by effectively prioritizing resources, work and negotiating product/project needs.
  • Innovation: Lead the team to ideate, do POC and implement change to bring innovation in their product, grooming new technologies and presenting them to management

Basic Qualifications

  • At least 8 years past professional Data Engineering development or consulting experience in Essbase system design, deployment and support.
  • Can be relied on to deliver a data pipeline on time and to requirements, without data quality issues.
  • Leads the team, and contributes effectively to the success of those that they interact with regularly.
  • Strong analytical and problem solving skills. Can triage and resolve data / process issues
  • Able to evangelize best practices through prototyping or other means.
  • Expert understanding of Data Modelling Concepts, experience with modelling data and metadata to support relational & non-relational database implementations; experience with building Logical and Physical data models.
  • Familiar with various big data technologies (Teradata), open source data processing frameworks.
  • Evaluates and implements data solutions with various big-data technologies.
  • Good understanding of data processing, data structure optimization and design for scalability.
  • Good understanding of distributed systems, data movement and optimizing ETL processing of extremely large datasets for SLAs.
  • Excellent communication and team player skills to collaborate with cross functional teams for successful delivery of Data solutions.
  • Good understanding of database principles and SQL beyond just data access.

Preferred Technical Capabilities(past experience that will help this person be successful)

  • Strong SQL skills , prefer Teradata Experience ( Good to have Teradata ETL exposure)
  • Strong in querying data from Hadoop systems and build solutions
  • Exposure to Informatica, UC4 , ETL
  • Prior knowledge of any analytical visualization tools like Tableau, R, SAAS is desirable
  • Proficiency in Excel is good to have
  • Excellent communication skills and leadership


Jobs Rated Reports for Data Scientist

Posted: 2020-03-13 Expires: 2020-05-12

Featured Jobs

Before you go...

Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.

Share this job:

Data scientist/Technical product Manager - PayPal

San Jose, California

Join us to start saving your Favorite Jobs!

Sign In Create Account
Data Scientist
7th2018 - Data Scientist
Overall Rating: 7/220
Median Salary: $111,840

Work Environment
Very Good
Very Low
Very Good
Jobs Rated Methodology
Powered ByCareerCast