Lead Data Scientist

Lead Data Scientist

Splunk, a Cisco company, is building a safer, more resilient digital world with an end-to-end, full-stack platform designed for hybrid, multi-cloud environments.

We are looking for a Lead Data Scientist to drive advanced analytics and predictive modeling initiatives that power growth across the Splunk and Cisco portfolios. In this role, you will serve as a hands-on individual contributor—applying your data science expertise to real business challenges, collaborating across teams, and transforming complex data into actionable insights.

Your work will directly enable more scalable, consistent, and customer-focused sales strategies. This role focuses on execution, model development, and production support, working closely with senior data scientists on broader strategy and advanced projects.

Your Impact

• Design, develop, and maintain predictive models and analytical workflows to drive revenue growth, customer engagement, and sales effectiveness.
• Apply analytics and machine learning techniques to account prioritization, propensity modeling, and tailored sales recommendations within the TAS framework.
• Conduct statistical and exploratory data analyses across large, multi-source datasets to uncover meaningful patterns and insights.
• Partner with Sales, Marketing, Product, Partner, and Customer Success teams to understand business questions and translate them into impactful data science solutions.
• Build and maintain scalable data pipelines and features to support ongoing model development and refresh cycles.
• Support deployment, monitoring, and validation of models in production environments.
• Create clear documentation, dashboards, and presentations to communicate findings and recommendations to both technical and non-technical audiences.
• Apply data quality checks and validation methods to ensure the reliability of analytical outputs.
• Collaborate with and support senior data scientists on complex modeling, experimentation, and AI-driven initiatives.

Minimum Qualifications:

• Bachelors + 8 years of related experience, or Masters + 6 years of related experience, or PhD + 3 years of related experience
• 3+ years of driving cross business initiatives across multiple businesses
• Experience with continuous improvement of analytics processes, tools, and best practices.
• Experience applying predictive modeling, statistical analysis, or machine learning to business problems.
• Experience in Python and SQL, with experience using cloud data platforms such as Snowflake, Pendo, RStudio, Tableau.

Preferred Qualifications

• Familiarity with common data science and machine learning tools, frameworks, and workflows.
• Experience working with large, complex datasets from multiple sources.
• Exposure to model deployment, monitoring, or production analytics environments.
• Strong communication skills, with the ability to explain analytical results to both technical and non-technical stakeholders.
• Ability to manage multiple tasks, work independently within a defined scope, and deliver results in a fast-paced environment.
• Interest in applied AI, responsible AI practices, and continuous learning.