Machine Learning Scientist

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: What you need to know about the role
- You should be a driven Machine Learning Scientist. Meet our team
- You will be joining PayPal’s nascent Personalization AI/ML, Product Intelligence & Experimentation Sciences team.

**Job Description**:
**Your way to impact **
- You should have a strong background in developing and implementing machine learning algorithms.
- We leverage state of the art machine learning techniques to solve challenging and impactful business problems in consumer product domain.
- This position requires the ability and curiosity to learn various advanced AI/ML techniques.

**Your day to day **
- As a Machine Learning Scientist you will be responsible for:

- Developing state-of-the-art Machine Learning solutions to solve impactful business problems
- Working with team and stakeholders to formulate business challenges into data science and machine learning problems
- Productionalizing and automating large scale end-to-end data solutions in close collaboration with our engineering teams
- Present findings and recommendations to business partners and senior leadership

**What do you need to bring-**
- Masters degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, etc.) with 8+ yrs. of relevant industry experience
- Experience in developing and deploying machine learning solutions with a focus on NLP
- Advanced knowledge of statistical and machine learning algorithms (e.g., logistic regression, time series analysis, random forests, SVMs, XGBoost, CNNs/RNNs)
- Hands-on experience with popular ML frameworks and libraries (e.g., Scikit-learn, TensorFlow, PyTorch, etc.) and in dealing with big data (e.g., Hadoop, Spark, SQL, etc.)
- Ability to write scalable production-quality code in Python, Java, Scala or a similar programming language, and to design and implement data engineering pipelines using technologies like Hive, SQL, BigQuery, or Spark
- Strong problem-solving skills and attention to detail
- Ability to communicate effectively and establish constructive relationship with business and engineering partners
- Ability to work effectively both independently and in a team environment
- Experience with Fintech and/or Financial Services industry an advantage

**Nice to Haves**:

- Experience working in Cloud based environment (e.g., GCP, Azure, AWS)
- Hands-on experience with conducting experiments in various areas of personalization and causal inferencing
- Experience working on feed-based ML ranking and recommendation systems

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.

Who We Are:
As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.