Staff AI Data Scientist

Job not on LinkedIn

🕒 May 14

⚔️ Virginia – Remote

⚔️ Virginia – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 40%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

BeyondTrust

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1985

🔒 Cybersecurity

💰 Private Equity Round on 2021-05

Cybersecurity

BeyondTrust is a company that specializes in providing cybersecurity solutions. They focus on offering products and services that protect organizations from internal and external threats, and their solutions often involve privileged access management to secure and manage the identities and credentials of users accessing critical systems and data.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• 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.