BeyondTrust

Staff AI Data Scientist

BeyondTrust$120K — $160K *
US-Anywhere
+ 2 other locationsRemote
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's or PhD in a quantitative field or equivalent experience
  • 3+ years of hands-on experience in production ML model development
  • Proficient in Python and major ML frameworks
  • Deep understanding of statistical modeling and experimental design
  • Experience with cloud platforms for model serving
  • Familiar with LLM fine-tuning techniques
  • Utilizes AI coding assistants to enhance development efficiency

Responsibilities

  • Develop and deploy machine learning models for production
  • Design experiments and run evaluations to gauge model success
  • Fine-tune and evaluate large language models for specific tasks
  • Work with data engineering to establish necessary training data and pipelines
  • Collaborate across teams to create scoped modeling solutions
  • Build frameworks to monitor and evaluate model performance
  • Communicate insights and recommendations through visualizations and reports
  • Mentor fellow data scientists to promote modeling rigor

Benefits

  • Opportunity to work at the cutting edge of AI and machine learning
  • Cross-functional collaboration with engineering, product, and business teams
  • Ability to mentor and shape junior talent within the organization
  • Engagement with complex, high-impact business problems
  • Potential participation in innovative research and open-source contributions
Full Job Description
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

About BeyondTrust

BeyondTrust is a cybersecurity company that provides solutions for privileged access management, vulnerability management, and remote access management. The company was founded in 2006 and is headquartered in San Diego, California. BeyondTrust's products are used by organizations in various industries, including finance, healthcare, and government. The company has received numerous awards for its products, including the SC Award for Best Vulnerability Management Solution and the CRN Tech Innovator Award for Privileged Access Management.
Learn more about BeyondTrust
Size
1,000 employees
Industry

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