What will you do:
- Develop and lead large-scale technical implementation of advanced Machine Learning algorithms for our web security products.
- Use innovative technologies that combine work with practical projects and research projects - from the stage of data analysis to prototyping of new ideas, their implementation in a production environment, and then monitoring and maintaining them.
- Work on projects in the fields of supervised and semi-supervised learning, anomaly detection, time series forecasting, and more.
- Make an impact - Shaping the business, data science, and research directions by developing new algorithms and features.
- Assess the effectiveness and accuracy of big data sources and data gathering techniques.
- Mentoring other data scientists/algorithm developers in the group.
What you'll need:
- M.Sc./PhD in Statistics, Computer Science, Mathematics or a related field.
- 5+ years with practical hands-on experience in developing and researching algorithms in the fields of data science/machine learning techniques and statistical methods, such as: boosting and bagging algorithms, time series models, clustering and anomaly detection methods, and more.
- Proven experience in taking data model projects from the stage of data analysis to prototyping new ideas, their implementation in a production environment, and monitoring and maintenance.
- Proficiency with Python and SQL.
- Knowledge in how to construct and test models to reach conclusions and insights.
- Experience working with and creating data architectures.
- Knowledge in how to perform ETL processes and draw insights from large\big data sets.
- Independent and innovative with the ability to lead problem definition and goal definition processes
- Fluent in English (speaking and writing).
Nice to have:
- Experience in MLOps methods – Docker, Kubernetes, Google MLOps etc.
- Background in the cyber-security or fraud worlds.
- Experience with continuous learning methods