Staff Data Scientist

at  Tanium

THE BASICS

We are seeking a seasoned Staff Data Scientist with a strong mathematical foundation to join Tanium’s AI team. Tanium is the first-mover in delivering on the promise of autonomous endpoint management (AEM). Powered by Tanium AI, AEM will deliver comprehensive, autonomous management of endpoints, including security, incident response, patching, change management, and performance monitoring capabilities.
The Staff Data Scientist will work closely with cross-functional teams to lead the design, development, and deployment of advanced models that deliver autonomous action across Tanium’s suite of solutions. Particular focus will be on the development of the algorithms that serve as inputs AI results (e.g., confidence scoring).

What you’ll do

• Conduct research and analysis to identify data patterns and trends that can be leveraged for AI model development.
• Design, develop, and implement machine learning algorithms and statistical models to power AI results and actions.
• Ensure AI model development incorporates all necessary guardrails that always allows the user to be in control.
• Lead testing processes to assess and continuously enhance AI performance.
• Collaborate with cross-functional teams including software engineers, product managers, and data engineers to integrate AI solutions into our AEM capabilities.
• Monitor and optimize AI models for performance, scalability, accuracy, and reliability in real-world applications.

• Stay updated with the latest advancements in AI, machine learning, and related fields to drive innovation within the company.

  We’re looking for someone with

• Education

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field (advanced degree preferred) or equivalent work experience.
• Experience and skills
• Proven experience in a data scientist role (8+ years) with a track record of developing and deploying AI models in a production environment.
• Proficiency in programming languages for data analysis and machine learning.
• In-depth knowledge of mathematical concepts including linear algebra, calculus, probability, and statistics.
• Experience with machine learning frameworks
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

• Conduct research and analysis to identify data patterns and trends that can be leveraged for AI model development.
• Design, develop, and implement machine learning algorithms and statistical models to power AI results and actions.
• Ensure AI model development incorporates all necessary guardrails that always allows the user to be in control.
• Lead testing processes to assess and continuously enhance AI performance.
• Collaborate with cross-functional teams including software engineers, product managers, and data engineers to integrate AI solutions into our AEM capabilities.
• Monitor and optimize AI models for performance, scalability, accuracy, and reliability in real-world applications.
• Stay updated with the latest advancements in AI, machine learning, and related fields to drive innovation within the company