Staff AI Data Scientist

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, sc