PayPal

Senior Machine Learning Engineer

Remote Chicago, IL
SQL Java Python Git
This job is closed! Check out or
Description
What you need to know about the role: Merchant Reporting and Reconciliation team is looking for an experienced engineer with analytics and data science skills to help us analyze the data to build the right reporting products. Your primary focus will be to analyze the data based on product requirements, come up with recommendations to build the most optimized reporting data model and write validation queries to identify discrepancies in the data as they arise which will drive to our goal of building stable and scalable reporting products. Meet our team: At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives.

Your way to impact:


Merchant reporting is crucial for our Merchants so that they can close their account books timely and accurately with complete payment data in core markets. We are looking for people who have a passion for developing massively scalable, distributed software systems that require high availability to our business. As a member on the Merchant Reporting and reconciliation team, you thrive in a fast-paced environment and enjoy driving innovation through rapid prototyping and iterative development. You will work directly with our Product Owners and Domain Technical Leads to create outstanding solutions and deliver incredible reporting products. You will be involved from ideation to rollout.

Your day to day:

  • Analyze data based on product requirements
  • Work with Product Managers and other business partners to identify
    opportunities for improvement
  • Create reports for internal teams and/or external clients
  • Use graphs, infographics and other methods to visualize data
  • Structure large data sets to find usable information with short-term and long-
    term architecture mindset
  • Work with a team of analysts and other associates to process information
  • Create presentations and reports based on recommendations and findings
  • Define validation queries when needed and how to identify discrepancies in the
    data as they arise
  • Deliver within schedule in an Agile software development using test-driven
    development methodologies.
  • Participate in development life cycle activities like design, coding, testing and
    production release.
  • Be proactive with identifying areas for improvement and innovation to improve
    development productivity

What do you need to bring:

  • 5+ years of hands-on production grade AI/ML contributions
  • Extensive experience working with large scale data pipeline
  • 3+ years of data engineering
  • Coding fluency with one or more of these – SQL, Java, Spark-SQL, Pyspark,
    Python
  • High proficiency in MS Excel, MS Powerpoint, GIT, Apache Airflow
  • Have a passion for quality and writing clean and solid code that scales and
    performs well
  • Strong desire to learn, push the envelope, and share knowledge with others
  • Teamwork skills with a problem-solving attitude

Extra Credit:

  • Provide your GitHub account or code samples with your resume!
  • Background on building data-oriented products for large enterprises
  • Exposure to either scaling existing design or building scalable design from
    ground up
PayPal
PayPal
E-Commerce Platforms FinTech Mobile Payments Transaction Processing

1 applies

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