Related keywords: data scientist remote jobmental health remote jobdata science remote job
This page contains product affiliate links.
Discord, the popular online communications platform, is seeking experienced Machine Learning Data Scientists to enhance its Data Science team. The selected individuals will work towards achieving Discord's aim of fostering a sense of belonging among online communities.
The candidate will be using advanced machine learning techniques to better understand users, communities, and our product. They will build predictive models on huge data sets, partner with product, engineering, and business teams, and contribute to design scalable primitives.
The job requires 4+ years of industry experience, expertise in supervised and unsupervised learning, neural networks, reinforcement learning, and modern NLP. Mastery over Python and knowledge of SQL is a must. A strong educational background in Computer Science or Math and ability to work with machine learning frameworks like TensorFlow, PyTorch, etc is also required. The candidate should be curious, self-motivated, and capable of clearly explaining complex findings.
The base salary for the offered full-time position ranges from $204,000 to $235,000 in addition to equity and benefits. Comprehensive medical insurance, mental health resources, generous paid holidays and leaves, volunteer time, and diverse Employee Resource Groups are part of the perks. The company supports flexible working options as well.
Discord is a voice, video and text app built to foster community and promote interests. With 150 million monthly users, it is an immensely popular communication platform. Discord values inclusiveness and aims to be a platform where everyone can find belonging. The company is dedicated to providing a seamless user experience without requiring to sell ads or user data.
This job offer was originally published on Jobicy
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
