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Job Type
Full Time -
Experience
0-2 year -
Salary
Mex$90,000 - Mex$190,000 / Year -
Location
Mexico City, CDMX, Mexico -
Job Function
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Industry
Information Technology -
Qualification
Degree in Artificial intelligence- AI
Key Skills
Apache Hadoop, Apache Hive, Big Data Technology, Deep Learning, Effective communication skills, English Proficiency, Google BigQuery, Google Cloud Platform (GCP), Java Programming, Machine learning techniques, Probability, Python Programming, PyTorch, Regression Analysis, Reinforcement Learning, Scala Programming, SQL, Statistics, TensorFlow
Job Description
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.
Job Description Summary:
PayPal is a global leader in online payments and democratization of financial services, providing payment solutions for hundreds of millions of customers all over the world.
PayPal’s Consumer AI (Artificial Intelligence) team is looking for a Machine Learning Scientist with a passion to solve interesting problems in Consumer product and marketing domains. We use state-of-the-art machine learning techniques to solve challenging and impactful business problems that drive the key KPIs (Key Performance Indicators) for the company.
Job Description:
As a Machine Learning Scientist in PayPal’s Consumer Relevance organization, you will have the opportunity to make use of PayPal's big data platform to design, build, maintain, develop, and improve advanced machine learning, ranking, and recommendation solutions to solve complex problems in the domain of Product and Marketing by leveraging your data and machine learning skills. This role offers a unique opportunity to innovate and improve PayPal’s data science and machine learning capabilities for a better customer experience.
As a member of our fast-moving, entrepreneurial team, you will own projects end-to-end and drive decisions that benefit hundreds of millions of PayPal Consumers all over the world.
Your Way to Impact
The role is central to PayPal’s Machine Learning models in the Product and Marketing domains. As a Machine Learning Scientist, you will work on models to improve customer experience, to optimize return on investment of marketing campaigns, and to solve interesting problems in ranking and recommendation systems.
Your Day to Day
As a Machine Learning Scientist, you will be responsible for:
- Designing, developing, optimizing, and maintaining state-of-the-art Machine Learning solutions to solve impactful business problems.
- Working with partners to formulate business challenges into data science and machine learning problems and recommend actionable insights for solutions delivered.
- Productionalizing and automating large-scale end-to-end ML solutions in close collaboration with PayPal's engineering teams.
What Do You Need to Bring
- Master's degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, Operations Research, etc.) + 1 year of industry experience or PhD with research experience.
- Experience in any one of Recommendation, Ranking, Product and Marketing domains a big plus.
- Proficient in one or more programming languages such as Python, Java, or Scala.
- Knowledge of relational databases and query authoring (SQL, Hive, Big Query).
- Familiarity with relevant machine learning frameworks and packages such as TensorFlow and PyTorch.
- GCP/Hadoop and big data experience – an advantage.
- Experience/familiarity with any of deep learning, reinforcement learning, graph modeling, learning to rank, recommendations, growth marketing models, or regression modeling a big plus.
- Experience implementing production machine learning systems and solid understanding of machine learning theory.
- Solid knowledge of probability, statistics, and experiment design.
- Fluent spoken and written English communication with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insights.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please do not hesitate to apply.
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 visit https://www.paypalbenefits.com
Company Info.
PayPalPayPal Holdings, Inc. is an American company operating an online payments system in the majority of countries that support online money transfers, and serves as an electronic alternative to traditional paper methods like checks and money orders.
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IndustryFinTech
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No. of Employees30,900
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Location2211 North 1st Street, San Jose, CA 95131, USA
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Website
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