Senior Staff Data Scientist

Meet the Team

Join the engineering team building the intelligent backbone of Splunk Observability Cloud. We are committed to leveraging the latest advancements in data science and machine learning to unlock unprecedented value from massive volumes of telemetry‑metrics, traces, and logs at petabyte scale. This role involves researching, developing, and deploying core analytical components focused on streaming anomaly detection, predictive intelligence, and automated root‑cause analysis. If you thrive on the challenge of building enterprise‑grade, scalable ML systems and applying sophisticated techniques to complex, high‑impact problems, you will be instrumental in delivering the full‑stack, real‑time answers and automation required for our customers to achieve true digital resilience across any cloud‑native or hybrid environment.

Your Impact

Lead the design, development, and evolution of Agentic platforms and machine learning algorithms for anomaly detection, prediction

Apply the latest Generative AI and Agentic AI to enable AI features in Splunk Observability

Collaborate across engineering and product teams to establish robust frameworks for evaluating AI systems' trustworthiness and resilience.

Provide technical leadership and mentorship within the team, establishing leading practices for development, testing, and artifact management.

Minimum Qualifications

PhD degree in Computer Science or related field and 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), including container orchestration (e.g., Kubernetes, Docker).

Proven experience in technical leadership, architecture design, and end‑to‑end feature ownership in AI / ML or platform domains.

Experience with API design and frameworks (e.g. OpenAPI, GraphQL, gRPC, REST, etc.).

Prior working experience in delivering RAG and Agentic products into production.

Expert at using vibe coding tools (Claude Code, Codex, Copilot, Windsurf, Cursor) is a must.

Up to date knowledge on the latest Agentic and Generative AI research papers.

Preferred Qualifications

Exceptional problem‑solving skills, with the ability to analyze complex requirements and propose effective solutions.

Experience developing, deploying, and maintaining applications in AWS environment with cloud native solutions.

Experience monitoring and analyzing metrics, trace, span, and log content.

Background in observability, generative AI, or model robustness.

Why Cisco?

At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.

Message to applicants applying to work in the U.S. and / or Canada

The starting salary range posted for this position is $226,300.00 to $293,300.00 and reflects the projected salary range for new hires in this position in U.S. and / or Canada locations, not including incentive compensation, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job‑related skillset, experience, qualifications, education, certifications, and / or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long‑term disability coverage, and basic life insurance. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies.

Cisco is an affirmative action and equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

Cisco will consider for employment, on a case‑by‑case basis, qualified applicants with arrest and conviction records.

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