What you’ll be doing

📍Analyze blockchain and attack data 📍Prototype a broad range of models: from supervised to unsupervised models to detect attacks, rank alerts, provide context to alert data 📍Empower the data science community to protect web3 (e.g. through data set curation, prototyping, contest preparation) 📍Work with data science and engineering community to evolve the Forta Network’s data science and machine learning capabilities 📍Facilitate a research agenda with the data science and academic research community (e.g. through RFPs and regular community calls) 📍Educate the broader community on data science approaches to web3 through statistics and data science (e.g. through research papers & blog posts, conference talks, social media presentations)

Ideally, you have:

📍5+ years of professional experience in Machine Learning, Natural Language Processing, Deep Learning, Anomaly Detection, Clustering, Time Series Analysis, and related areas. 📍Expertise with Python and experience with other scripting languages (e.g., R, or similar). 📍Experience with libraries such as Pandas, Keras, Pytorch, Scikit-learn etc. to build ML models. 📍Attention to detail with self-discipline and a drive for results. 📍Demonstrated ability to work in ambiguous situations and with geographically distributed teams. 📍Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or related technical field or equivalent experience. 📍Excellent writing and communication skills 📍Ability to convey complex technical topics into easy to understand materials 📍Strong personal organizational skills and a love for self-time management. 📍Passion and/or experience with open-source or cybersecurity or similar highly technical industry is preferred. 📍Technical knowledge of blockchain, DeFi and the Ethereum ecosystem is preferred.