Data Scientist 1

14 Minutes ago • 4 Years +

Job Summary

Job Description

As a Data Scientist at PayPal, you will apply strategic and analytical skills to solve challenging business problems for the Risk team. This role involves identifying actionable insights, driving automation initiatives, and fighting emerging fraud trends. You will collaborate with Product, Platform, Machine Learning, and Operations teams to impact the company's bottom line and fuel growth.
Must have:
  • Provide analytical insights into problems and emerging trends.
  • Drive projects end-to-end from ideation to implementation.
  • Identify new opportunities and continuous improvement for KPIs.
  • Evaluate leads and cases for risk levels to increase automation.
  • Ensure that we balance automation goals with loss prevention.
  • Partner with GADS and front-end strategy for feedback model improvement.
  • Design analysis and measurement approaches with business partners.
  • Effectively manage stakeholders throughout project lifecycle.
  • Understand new products, features, and trends impact on back office.
  • Identify gaps in existing reporting and tools.
  • Provide regular updates to leadership and stakeholders.
  • Solid technical/data-mining skills with large datasets.
  • Be data-driven and outcome-focused.
  • Good business judgment, creative and strategic thinking.
  • Intuitive, organized analytical thinker with detailed analysis ability.
  • Takes personal ownership, self-starter, drives projects with minimal guidance.
  • Bachelor's Degree in quantitative discipline (Economics, Engineering, Computer Science, Math, Statistics).
  • 4+ years’ experience in analytics.
  • Proficiency using SQL and querying relational databases.
  • Experience in statistical programming (SAS, R, Python).
  • Experience in predictive modelling (Regression, Classification, Time series forecasting, NLP).
  • Experience with structuring analyses to solve business problems.
  • Experience with project/program management.
Good to have:
  • Experience in Fintech/Banking/Credit/Payment industry
Perks:
  • Flexible work environment
  • Employee shares options
  • Health insurance
  • Life insurance

Job Details

Your way to impact

As a Data Scientist, you will apply your strategic and analytical skills to solve challenging business problems. You will team up with world-class professionals to identify actionable insights that ultimately impact the bottom line of the company. We work in a space that looks deeply into emerging fraud trends to come up with analytical solutions to fight these fraud trends and we also work on business enablement opportunities that fuel growth and drive efficiencies within the organization

Your day-to-day

  • Provide analytical insights into problems, emerging trends and changes to portfolio
  • Drive projects end to end from ideation to implementation in a time sensitive and efficient manner
  • Identify new opportunities and continuous improvement to contribute to the team’s KPIs and targets
  • Case rating: Evaluate each lead and case for risk levels to determine the urgency, importance and need for manual reviews with a goal of Increasing case automation using various risk factors and exposure on a given account, additional profile or transactional information, adoption of Document Intelligence solution etc.
  • Ensure that we balance automation goals with loss.
  • Partner with GADS and front end strategy team for agent decision and trend-based feedback model to improve automation quality.
  • Work closely with business partners and stakeholders to determine how to design analysis and measurement approaches that will significantly improve our ability to understand and address emerging business issues
  • Effectively managing relevant stakeholders through the lifecycle of a project by effectively understanding the various needs, priorities and perspectives in order to drive for a solution
  • Understand new products, features and trends and their impact to back office reviews.
  • Identifying present or future gaps in the team’s existing reporting and tools suite
  • Providing regular updates to leadership, product and other stakeholders that will simplify and clarify complex concepts and the results of analyses effectively with emphasis on the actionable outcomes and impact to business

What do you need to bring

  • Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as SQL, SAS, Hadoop, or other programming/scripting languages (Python, R, etc.) to translate data into business decisions/results
  • Be data-driven and outcome-focused
  • Must have good business judgment with demonstrated ability to think creatively and strategically
  • Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis
  • Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work
  • Bachelor's Degree in a quantitative discipline (Economics, Engineering, Computer Science, Math, Statistics)
  • 4+ years’ experience in analytics
  • Proficiency using SQL and querying relational databases
  • Experience in at least one statistical programming language (SAS, R, Python)
  • Experience in predictive modelling techniques such as Regression, Classification, Time series forecasting, NLP, etc.
  • Experience with structuring analyses to solve business problems using data and analytics tools and techniques
  • Experience with project/program management
  • Experience in Fintech/Banking/Credit/Payment industry a strong plus

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About The Company

PayPal is on a mission to revolutionize commerce globally. We’re driving our company, industry, and society forward with vision and velocity. With our commitment to excellence, innovation, and talent, the possibilities are limitless. ​Learn more at. Learn more about privacy-related questions or data retention.

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