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Data Scientist

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PayPal

3mo ago

  • Job
    Full-time
    Senior Level
  • Data
    Research & Development

AI generated summary

  • You need 5+ years in data analysis, a degree in a quantitative field, expertise in SQL, Python/R, big data tools, strong communication skills, and a proactive, team-oriented mindset.
  • You will analyze large datasets, apply advanced techniques for insights, collaborate cross-functionally, mentor juniors, and refine analytical processes to enhance transaction authorization rates.

Requirements

  • 5+ years of experience in analyzing multi-dimensional datasets and creating actionable business solutions.
  • Strong educational background with a Bachelor’s/Master’s degree in Computer Science, Economics, Statistics, Mathematics, or a related quantitative discipline.
  • Expertise in SQL, Excel, and visualization tools such as Tableau or Qlikview. Proficiency in a statistical programming language like R or Python is preferred.
  • Demonstrable experience with big data technologies such as Teradata, Hadoop/Hive, and BigQuery.
  • Knowledge of Python, Jupyter Notebooks, and SQL.
  • Exceptional communication skills to effectively articulate insights and influence cross-functional teams.
  • Prior experience in performing data science to fuel insights to drive Product within a high-tech environment.
  • A data-driven decision maker, passionate about solving complex problems using analytical solutions.
  • A self-starter who is motivated to take initiative and thrive in a fast-paced environment.
  • A fun-loving team player who brings energy and enthusiasm to the workplace.
  • Comfortable with ambiguity and uncertainty in a dynamic business landscape.

Responsibilities

  • As a Data Scientist, you will spearhead our efforts to measure and enhance authorization rates for PayPal's checkout products. This role is central to our mission, offering you the opportunity to work with cutting-edge technology in a fast-paced environment. You will lead the data science projects for the initiatives that optimize transaction success rates, directly impacting PayPal's ability to offer seamless payment solutions to millions of users worldwide.
  • Your day to day:
  • Utilize large, complex datasets to drive improvements in authorization rates.
  • Employ advanced analytical and statistical techniques to identify trends, issues, and opportunities.
  • Perform deep-dive analytics including Causal Inference analysis, Pre-Post analysis, Sensitivity analysis, financial projections, and additional ad-hoc exercises to provide holistic recommendations.
  • Develop and present insights and strategic recommendations to Product and Data Science leadership. Influence product direction and strategic decisions through data-driven insights.
  • Work closely with cross-functional teams, including product development, engineering, and marketing to implement data-driven improvements. Occasionally collaborate with merchants to optimize their authorization processes. Mentor junior team members.
  • Lead initiatives to refine existing analytical processes and develop new approaches to business challenges. Promote a culture of continuous improvement and testing.

FAQs

What is the primary focus of the Data Scientist role at PayPal?

The primary focus is to measure and enhance authorization rates for PayPal's checkout products, utilizing data insights to optimize transaction success rates.

What qualifications are required for the Data Scientist position?

Candidates should have 5+ years of experience in analyzing multi-dimensional datasets and creating actionable business solutions, along with a Bachelor's/Master's degree in a quantitative discipline such as Computer Science, Economics, Statistics, or Mathematics.

What technical skills are necessary for this role?

Proficiency in SQL, Excel, and visualization tools (such as Tableau or Qlikview) is required, along with experience in big data technologies like Teradata, Hadoop/Hive, and BigQuery, and knowledge of statistical programming languages such as R or Python.

Will I be collaborating with other teams in this role?

Yes, the role involves collaboration with cross-functional teams, including product development, engineering, and marketing, to implement data-driven improvements.

Is there an opportunity for professional development or mentorship in this position?

Yes, there is an opportunity to mentor junior team members as part of the role.

What kind of projects will I be working on?

You will be leading data science projects aimed at optimizing authorization rates and enhancing customer experience across PayPal's payment processing systems.

What are PayPal's beliefs regarding workplace culture?

PayPal values Inclusion, Innovation, Collaboration, and Wellness, ensuring that employees work as a global team with customers at the center and taking care of each other and their communities.

How does PayPal support employee well-being?

PayPal offers a range of benefits, including health and life insurance, employee share options, and resources to support financial, physical, and mental health.

What is the work environment like at PayPal?

PayPal operates under a balanced hybrid work model offering flexibility, with 3 days in the office and 2 days either at home or in the office, ensuring effective in-person collaboration.

Does PayPal promote diversity and inclusion in the workplace?

Yes, PayPal is committed to creating an equitable and inclusive workforce, providing equal employment opportunities and reasonable accommodations for individuals with disabilities.

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PayPal

Technology
Industry
10,001+
Employees
1998
Founded Year

Mission & Purpose

PayPal is a prominent financial technology company that facilitates online payments and money transfers for individuals and businesses. Their fundamental objective is to empower seamless and secure digital transactions, enabling people to manage their financial lives more efficiently in an increasingly interconnected world. At its core, PayPal strives to be the bridge that connects people with the global economy, offering accessible and convenient solutions to move and manage money, ultimately promoting financial inclusion and empowerment.