Bachelor's with more than 5 years of relevant experience OR Masters with more than 3 years of relevant experience OR PhD with at least 2 years of relevant industry experience
Degree in Computer Science, Statistics, Mathematics, Econometrics, or other relevant fields
Strong fundamentals in algorithms and data structures, coding, ML system architecture design and deployment at scale
Experience in analysing complex problems and translate it into data science algorithms
Experience in one or more areas of advanced data science (NLP, Deep Learning, Computer Vision, etc.)
Experience in statistical analysis and experiment design
Strong software development skills with proficiency in Python
Experience with machine learning frameworks such as TensorFlow, JAX, PyTorch, Spark MLlib, Keras, or scikit-learn
Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross-functional team
Responsibilities
Design and develop advanced machine learning models for a variety of applications
Work closely with data engineers and machine learning engineers to deliver products for hundreds of millions of users
Experiment and Innovate in AI & machine learning applications to Conde Nast’s Business problems
Mentor and guide junior team members, fostering a culture of innovation and excellence
Effectively communicate complex technical concepts to both technical and non-technical audiences
Stay up-to-date with the latest advancements in data science and machine learning