Senior Staff Data Scientist
Explicitly requires vibe coding skills and use of tools like Claude Code, Codex, Copilot, Windsurf, and Cursor.
About the Role
Senior Staff Data Scientist to lead the design, development, and production deployment of scalable ML systems for Splunk Observability Cloud, focusing on streaming anomaly detection, predictive intelligence, and automated root-cause analysis. The role emphasizes applying Generative and Agentic AI, delivering RAG/Agentic products to production, and providing technical leadership and mentorship.
Job Description
Role
Lead research, development, and deployment of core analytical components for Splunk Observability Cloud, delivering real-time, enterprise-grade ML solutions for streaming anomaly detection, predictive intelligence, and automated root-cause analysis. Drive the integration of Generative and Agentic AI features and establish frameworks for evaluating AI system trustworthiness and resilience.
Key Responsibilities
- Design, develop, and evolve agentic platforms and machine learning algorithms for anomaly detection and prediction.
- Apply Generative AI and Agentic AI techniques to enable AI-driven features in the product.
- Deliver RAG and Agentic products into production and own end-to-end feature delivery.
- Collaborate across engineering and product teams to define evaluation frameworks for AI trustworthiness and resilience.
- Provide technical leadership, architecture design, mentorship, and establish best practices for development, testing, and artifact management.
Minimum Qualifications
- PhD in Computer Science or related field with 6+ years of software engineering experience, or master’s degree with 10+ years of experience.
- Experience designing and building scalable cloud-based systems (AWS, Azure, or GCP) and working with container orchestration (Kubernetes, Docker).
- Proven technical leadership, architecture design, and end-to-end feature ownership in AI/ML or platform domains.
- Experience with API design and frameworks (OpenAPI, GraphQL, gRPC, REST).
- Prior experience delivering RAG and Agentic products into production.
- Expert proficiency with vibe coding tools (Claude Code, Codex, Copilot, Windsurf, Cursor) is required.
- Up-to-date knowledge of Agentic and Generative AI research.
Preferred Qualifications
- Strong problem-solving skills and ability to propose effective solutions for complex requirements.
- Experience developing, deploying, and maintaining cloud-native applications in AWS.
- Experience monitoring and analyzing metrics, traces, spans, and logs.
- Background in observability, generative AI, or model robustness.
Compensation & Benefits (summary)
- Posted starting salary range for U.S./Canada locations: $226,300.00 to $293,300.00. Location-specific ranges are provided in the posting.
- Benefits include medical, dental, and vision insurance; 401(k) with company match; paid parental leave; short- and long-term disability; basic life insurance; potential restricted stock unit grants; paid holidays and flexible vacation programs; sick time; volunteer days; and eligibility for annual bonuses where applicable.