Principal/Staff Data Science
Tel Aviv
Applications have closed
PerimeterX, Inc.
Protect your web apps against account takeover, carding, denial of inventory, scalping, skewed analytics, digital skimming, Magecart, PII harvesting, scraping.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
Tags: Big Data Computer Science Data analysis Docker Engineering ETL Kubernetes Machine Learning Mathematics MLOps PhD Prototyping Python Research Security SQL Statistics
Perks/benefits: Career development Flex vacation
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