BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cyber security SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

We're looking for a Staff AI Data Scientist to design, build, and deploy machine learning models and AI-driven solutions that solve complex business problems. You'll work at the intersection of applied research, software engineering, and product — turning raw data into actionable insights and intelligent systems that ship to production.

What You’ll Do

Develop and deploy machine learning models (supervised, unsupervised, deep learning) for production use cases
Design experiments, define success metrics, and run rigorous offline and online evaluations (A/B tests, holdouts, causal analyses)
Fine-tune, prompt-engineer, and evaluate large language models for domain-specific tasks
Partner with data engineering to define the features, datasets, and pipelines needed for model training and inference
Collaborate with engineering, product, and business teams to translate ambiguous problems into well-scoped modeling solutions
Build monitoring and evaluation frameworks to track model performance, drift, and fairness over time
Communicate findings and recommendations to both technical and non-technical stakeholders through clear visualizations and written reports
Mentor other data scientists and help raise the bar for modeling rigor across the team

What You’ll Bring

Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent practical experience)
3+ years of hands-on experience building and deploying ML models in production environments
Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, scikit-learn, and Hugging Face Transformers
Deep understanding of statistical modeling, experimental design, and evaluation methodology
Experience with cloud platforms (AWS, GCP, or Azure) for training, serving, and scaling models
Familiarity with LLM fine-tuning techniques (LoRA, RLHF, instruction tuning) and serving infrastructure
Experience leveraging AI coding assistants (such as Claude Code, OpenCode, or GitHub Copilot) to accelerate development workflows

Nice To Have

Background in cybersecurity, identity security, or anomaly detection
Familiarity with adversarial ML or AI safety research
Contributions to open-source projects or published research

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com.

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