Senior Applied Machine Learning Scientist, Payments

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Netflix, we seek to entertain the world. We have more than 200 million members in 190 countries, reflecting that great stories can come from anywhere and be loved everywhere. Our payments teams across the world are a key part of this mission, continuously optimizing the set of payment methods that we offer in each country and investing in innovation to enable a seamless payments experience for our members. This focus on operational excellence makes it easy for customers to access Netflix and enjoy their next story without interruption.

Data is at the heart of our payments strategy and innovation at Netflix. In the Payments Data Science & Engineering team, we provide guidance to the business not only through analysis, metrics research, experimentation, causal inference, and modeling, but also through exceptional judgment, partnership, and business acumen. Our team’s portfolio includes production ML models that we maintain and innovate upon, as well as zero-to-one efforts in greenfield application spaces. These deeply collaborative, innovative efforts unlock millions of dollars of revenue impact each year.

As a Senior Applied Machine Learning Scientist, you will join this team of stunning Data Scientists and Analytics Engineers. You’ll lead the development of ML models that improve member experience and efficiency for billions of payments transactions each year and stop fraud in real time. You’ll partner with other ML researchers and engineers in Growth on cross-functional ML initiatives. You’ll spot gaps in how we’ve done things before, and you’ll find a better way to do them.

In this role, you will:

• Develop high impact machine learning models in Payments and Growth, owning all stages including ideation, development, deployment, A/B testing, and monitoring with support from our data engineering and Machine Learning Platform teams
• Partner closely with Payments leads and business analysts to identify high value applications of machine learning, translating business intuition into data-driven solutions
• Execute A/B tests as needed to evaluate the performance of ML models against the status quo
• Work closely with engineers on detailed requirements and implementation of end-to-end solutions at scale
• Inform and influence the development of better infrastructure for developing and deploying ML models

What you’ll bring:

• Deep applied ML experience with a strong track record of deploying successful ML solutions
• Exceptional communication skills, able to explain complex technical concepts clearly to cross-functional partners
• Exceptional thought partnership, able to own direct relationships with stakeholders and build credibility through clarity and judgment
• Applied knowledge of A/B testing, self-sufficient in evaluating your machine learning models
• Willingness to learn and rapidly absorb business context in the complex payments ecosystem
• Strong experience in Python and a ML/DL framework (e.g., scikit-learn, Keras, PyTorch, TensorFlow)
• Knowledge of Scala/Java is a bonus, but not required

What you’ll learn:

• Innovation and partnership on a global scale, navigating the balance of technical rigor with business requirements