Required Senior Data Scientist
What will you do:
As Senior Data scientist, you will shape the future of identity security and develop innovative AI/ML solutions that enhance security and protect the emerging agentic AI landscape in top organizations. Drive AI research and engineering to address evolving threats and protect critical digital assets effectively.
Drive AI/ML projects from research to production, leveraging advanced algorithms, LLMs, classification models, Unsupervised learning and optimization techniques to enhance cybersecurity solutions.
Model Building: Design, implement, and optimize machine learning models, including deep learning, using frameworks such as PyTorch, TensorFlow, Hugging Face, and scikit-learn.
Work closely with product manager, engineers, software architects and analysts to understand requirements, validate model assumptions, and deliver actionable insights.
Identify AI/ML impact opportunities and translate business needs into actionable roadmap items.
Stay current with the latest advancements in data science and apply best practices to ensure optimal performance.
What will you do:
As Senior Data scientist, you will shape the future of identity security and develop innovative AI/ML solutions that enhance security and protect the emerging agentic AI landscape in top organizations. Drive AI research and engineering to address evolving threats and protect critical digital assets effectively.
Drive AI/ML projects from research to production, leveraging advanced algorithms, LLMs, classification models, Unsupervised learning and optimization techniques to enhance cybersecurity solutions.
Model Building: Design, implement, and optimize machine learning models, including deep learning, using frameworks such as PyTorch, TensorFlow, Hugging Face, and scikit-learn.
Work closely with product manager, engineers, software architects and analysts to understand requirements, validate model assumptions, and deliver actionable insights.
Identify AI/ML impact opportunities and translate business needs into actionable roadmap items.
Stay current with the latest advancements in data science and apply best practices to ensure optimal performance.
Requirements:
Minimum 5 years of relevant work experience in AI/ML and Data Science, or PhD with 3 years.
Masters degree or PhD in a quantitative field Computer Science, Mathematics, Statistics, Engineering etc.
Hands-on experience with frameworks such as scikit-learn, PyTorch, Hugging Face, TensorFlow, or equivalent tools for model development and training.
Proven ability to apply statistical modeling and machine learning methods to real-world problems, ideally in the context of cybersecurity or related fields.
Proven track record of successfully taking AI/ML project inception to production
Proficient in communicating technical ideas and collaborating effectively across teams and organizational stakeholders.
Team player, responsible, accountable, delivery oriented and with a can do approach
Additional Information:
How you will stand out from the crowd:
AWS ecosystem (SageMaker, Glue, Athena, Redshift, EMR) and Spark – an advantage
Background in cyber security a strong advantage.
Minimum 5 years of relevant work experience in AI/ML and Data Science, or PhD with 3 years.
Masters degree or PhD in a quantitative field Computer Science, Mathematics, Statistics, Engineering etc.
Hands-on experience with frameworks such as scikit-learn, PyTorch, Hugging Face, TensorFlow, or equivalent tools for model development and training.
Proven ability to apply statistical modeling and machine learning methods to real-world problems, ideally in the context of cybersecurity or related fields.
Proven track record of successfully taking AI/ML project inception to production
Proficient in communicating technical ideas and collaborating effectively across teams and organizational stakeholders.
Team player, responsible, accountable, delivery oriented and with a can do approach
Additional Information:
How you will stand out from the crowd:
AWS ecosystem (SageMaker, Glue, Athena, Redshift, EMR) and Spark – an advantage
Background in cyber security a strong advantage.
This position is open to all candidates.
