Research Scientist - Advanced Causal Inference - Remote

Overview

Spotify’s mission is to unlock the potential of human creativity. We are looking for a Research Scientist specialising in causal inference and machine learning to help us with this mission. Successful applicants are encouraged to conduct research in causal inference and apply causal inference techniques to craft and build tools to help creators and Spotify teams make better decisions. This is an opportunity to improve decision making with causal inference by collaborating with multiple teams to reshape Spotify’s existing products and develop new ones.

In Short

• Join an interdisciplinary team passionate about making every user and creator interaction with Spotify outstanding.
• Participate in innovative fundamental and applied research in causal inference and machine learning.
• Apply scientific knowledge to analyze and collect data, perform analyses, and conduct experiments.
• Work collaboratively with scientists, engineers, product managers, designers, user researchers, and analysts.
• Engage in external activities such as publishing and speaking at conferences.

Requirements

• Ph.D. in Computer Science, Physics, Mathematics, Engineering, or equivalent experience.
• Publications in relevant communities such as UAI, ICML, NeurIPS, etc.
• Experience with Python, R, and tools like CausalML, EconML, TensorFlow, etc.
• Hands-on skills in data sourcing, cleaning, manipulating, and visualizing.
• A creative problem-solver with a passion for complex challenges.

Benefits

• Flexibility to work from home with some in-person meetings.