Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff Data Scientist, you'll play a key role in our cyber defense efforts developing, training, and deploying analytical models to identify and mitigate threats and protect our customers. Working alongside detection engineers, threat hunters, security researchers, and data engineers, your work will translate directly into real-world solutions that strengthen our security posture. If you're passionate about data science and excited by high-impact cybersecurity challenges, this role is for you.
What Will You Do?
Primary responsibilities include:
Prepare for significant challenges and meaningful impact. You will not just solve problems, you will address complex, real-world cyber scenarios, directly contributing to the safety and security of our global customer base.
You will join a team of leading industry experts, gaining access to unique, proprietary data – an essential resource for solving the most intricate cybersecurity puzzles. This role offers the chance to lead and innovate on pivotal projects that will advance our threat detection and threat hunting capabilities.
At our company, you will be a vital contributor to the future of cybersecurity. You will collaborate with some of the finest minds in the industry to overcome extraordinary challenges. Join us in shaping the next generation of cyber protection!
As a Staff Data Scientist, you'll play a key role in our cyber defense efforts developing, training, and deploying analytical models to identify and mitigate threats and protect our customers. Working alongside detection engineers, threat hunters, security researchers, and data engineers, your work will translate directly into real-world solutions that strengthen our security posture. If you're passionate about data science and excited by high-impact cybersecurity challenges, this role is for you.
What Will You Do?
Primary responsibilities include:
Prepare for significant challenges and meaningful impact. You will not just solve problems, you will address complex, real-world cyber scenarios, directly contributing to the safety and security of our global customer base.
You will join a team of leading industry experts, gaining access to unique, proprietary data – an essential resource for solving the most intricate cybersecurity puzzles. This role offers the chance to lead and innovate on pivotal projects that will advance our threat detection and threat hunting capabilities.
At our company, you will be a vital contributor to the future of cybersecurity. You will collaborate with some of the finest minds in the industry to overcome extraordinary challenges. Join us in shaping the next generation of cyber protection!
Requirements:
Ideal candidates will have:
5+ years in applied data science and ML, with depth in both model development and the data-centric work that makes models actually work – dataset design, curation, and evaluation.
Strong programming skills in Python.
Hands-on experience with modern NLP and deep-learning tooling – fine-tuning transformers, sentence-transformers, PyTorch and the like.
Proven ownership of projects end-to-end – from EDA and research through development, evaluation, and shipping to production.
Excellent communication: clearly explaining models and the data/evaluation decisions behind them to technical and non-technical stakeholders
Rigorous experimental methodology: building leak-free train/test splits and trustworthy evaluation, diagnosing and handling label noise, sample weighting, and curating datasets.
Experience in leading cross-functional projects between R&D and product teams
Ability to frame open-ended problems, set technical direction, and raise the bar for those around you.
Interest in cybersecurity and understanding of the threat landscape
Preferred Qualifications:
Experience in software development, cybersecurity or related fields
Experience with cloud-based technologies such as AWS, Azure, or Google Cloud.
Ideal candidates will have:
5+ years in applied data science and ML, with depth in both model development and the data-centric work that makes models actually work – dataset design, curation, and evaluation.
Strong programming skills in Python.
Hands-on experience with modern NLP and deep-learning tooling – fine-tuning transformers, sentence-transformers, PyTorch and the like.
Proven ownership of projects end-to-end – from EDA and research through development, evaluation, and shipping to production.
Excellent communication: clearly explaining models and the data/evaluation decisions behind them to technical and non-technical stakeholders
Rigorous experimental methodology: building leak-free train/test splits and trustworthy evaluation, diagnosing and handling label noise, sample weighting, and curating datasets.
Experience in leading cross-functional projects between R&D and product teams
Ability to frame open-ended problems, set technical direction, and raise the bar for those around you.
Interest in cybersecurity and understanding of the threat landscape
Preferred Qualifications:
Experience in software development, cybersecurity or related fields
Experience with cloud-based technologies such as AWS, Azure, or Google Cloud.
This position is open to all candidates.
