Responsibilities: ・Contribute to the design, testing, and iteration of the machine learning algorithms that form the backbone of Peatix products ・Create and improve predictive models (e.g. ticket sales or user churn) Analyze data to inform strategy and product/UX changes for user onboarding, engagement, retention, and monetization ・Work closely with product managers, designers, and engineers to conduct A/B tests and iterate on better product improvements ・Develop deep domain expertise about event and community ・Work with our data warehousing systems to design, build, and maintain analyses and performance visualizations for users, major product initiatives, and other internal needs Requirements (Must-Haves): ・Bachelors or higher degree in Statistics, Computer Science, Economics, Operations Research or similar quantitative field, or 3+ years of practical machine learning experience ・Experience of machine learning , either for practice or research Programming proficiency (preferably Python, its data science stack, and SQL) and desire to write production code Intermediate knowledge of applied statistics ( hypothesis testing, fit regression curves, build predictive models, choose sample sizes, etc.) ・Strong communication skills Requirements (Nice-to-Haves): Nice to haves are are really just nice to haves, and applicants should apply even if they don’t have them ・An M.S. or PhD in Statistics, Computer Science, Economics, Operations Research or similar quantitative field ・Experience with / working in one of the following fields: reinforcement learning, deep learning or Natural language processing (NLP) ・Experience of developing productionized machine learning systems ・Comfortable with using git, docker, and other tools for writing robust, production-ready code ・Conversational level Japanese or above Team Members: https://www.wantedly.com/companies/peatix5/post_articles/399712 https://www.wantedly.com/companies/peatix5/post_articles/409846