Staff AI Data Scientist

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff AI Data Scientist in the United States. This role sits at the core of applied machine learning and AI innovation, where advanced models are designed, built, and deployed to solve real-world cybersecurity and identity security challenges. You will work across research, engineering, and product teams to transform complex, high-volume data into production-ready intelligent systems that drive measurable business impact. The position requires strong expertise in machine learning, statistical modeling, and large-scale data pipelines, with a focus on delivering robust, scalable solutions. You will also play a key role in evaluating and fine-tuning large language models for domain-specific applications, helping shape the future of AI-driven security capabilities. Beyond model development, you will contribute to experimentation design, performance evaluation, and monitoring frameworks to ensure long-term reliability and fairness. This is a highly collaborative and high-impact role within a fast-paced environment focused on building secure, intelligent systems at scale.
• Accountabilities: Design, develop, and deploy machine learning models (supervised, unsupervised, and deep learning) for production-grade use cases. Define experimentation strategies, success metrics, and evaluation frameworks including A/B testing, holdouts, and causal analysis. Fine-tune, evaluate, and optimize large language models for domain-specific applications and intelligent automation use cases. Collaborate with data engineering teams to design and build scalable data pipelines, feature sets, and training datasets. Partner with engineering, product, and business stakeholders to translate ambiguous problems into structured modeling solutions. Build and maintain model monitoring systems to track performance, drift, bias, and long-term reliability in production. Communicate insights, findings, and recommendations through clear reports, dashboards, and data visualizations for technical and non-technical audiences. Mentor other data scientists and contribute to improving modeling standards, best practices, and technical rigor across the team. Requirements: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field, or equivalent practical experience. 3+ years of experience building and deploying machine learning models in production environments. Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, scikit-learn, and Hugging Face Transformers. Solid understanding of statistical modeling, experimental design, and evaluation methodologies. Experience working with cloud platforms such as AWS, GCP, or Azure for model training and deployment. Hands-on experience with LLM fine-tuning techniques (e.g., LoRA, RLHF, instruction tuning) and model serving systems. Familiarity with AI-assisted development tools such as GitHub Copilot or similar coding assistants. Strong communication skills with the ability to explain complex technical concepts to diverse stakeholders. Nice to have: experience in cybersecurity, identity security, anomaly detection, or AI safety research. Benefits: Competitive compensation aligned with experience and market benchmarks. Comprehensive health, dental, and vision insurance coverage. Flexible work arrangements supporting remote collaboration and work-life balance. Generous paid time off and parental leave policies. Professional development opportunities and access to cutting-edge AI and ML tools. Inclusive, collaborative culture focused on learning, innovation, and continuous improvement. Opportunity to work on high-impact cybersecurity and identity protection solutions used globally.
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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