Senior Data Scientist – Flex
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Job Description
Leading development of data science aspects for Akamai's web security products in a multidisciplinary research team. Responsible for innovation, model development, and insights on web security attacks.
Responsibilities:
- leading the development of data science aspects in the product, working as part of the multidisciplinary research team.
- You will be responsible for the development and maintenance of models and agents.
- Adding innovation and advanced models, and developing DS tools to provide insights and analysis of web security attacks.
- Leading and collaborating on end-to-end projects across the team and with engineering and product partners, from initial concept through to final deployment
- Developing working prototypes of statistical/machine learning-based algorithms, evaluating and comparing metrics based on real-world data sets
- Developing agentic systems to enhance detections and research paths
- Guiding engineering implementations of autonomous security agents
- Working closely with security researchers to combine subject matter expertise into the models
- Working to integrate security research learnings into the product
- Innovating in the web security research and data science space
- Providing DS expertise to the wider Akamai web security research group
Requirements:
- Have a BS.C degree and at least 4 years of relevant experience in Data Science
- Have knowledge in data science (pandas, PySpark, etc.), machine learning (sparkML, sklearn, PyTorch, etc)
- Have experience deploying and maintaining machine learning and generative AI systems in production, including agent-based frameworks and monitoring pipelines
- Be experienced in building evaluation pipelines to measure the performances and reliability of production models
- Be experience in working with cloud notebook environments
- Have good communication skills in English.
Benefits:
- development opportunities
- programs such as GROW and Mentoring
- internal events like the APEX Expo
- tools such as Linkedin Learning
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