Cisco - Ann Arbor, MI

posted 5 months ago

Full-time - Mid Level
Remote - Ann Arbor, MI
Computer and Electronic Product Manufacturing

About the position

As a Lead Security Data Scientist on the Duo AI and Security Research team, you will play a pivotal role in enhancing the security posture of our customers by developing systems that detect, mitigate, and prevent identity cyber threats. Your work will involve collaborating closely with various teams within the Data Science & Engineering organization to improve existing systems such as Trust Monitor and Risk-based Authentication, while also innovating new machine learning and data-driven enhancements for Duo's product offerings. This position requires a blend of data science expertise and a keen understanding of adversarial techniques, enabling you to deliver best-in-class security outcomes. In this role, you will be responsible for developing, evaluating, and refining algorithms that can effectively detect cyber threats within large-scale customer telemetry. You will work alongside Product, Engineering, and Design teams to implement systems that provide real-time mitigation of detected threats. Additionally, you will investigate the latest tactics, techniques, and procedures in identity security, collaborating with threat intelligence teams from Cisco Talos to stay ahead of emerging threats. Your leadership will be crucial in constructing labeled threat datasets and guiding their application in machine learning projects. You will also analyze the relationship between authentication policies and security outcomes, designing algorithms that help customers enhance their security posture. As a representative of the Data Science perspective during product development, you will help prioritize data collection and establish feedback loops necessary for future data initiatives.

Responsibilities

  • Develop, evaluate, and refine algorithms for detecting cyber threats in large scale customer telemetry
  • Collaborate with Product, Engineering, and Design teams to implement systems for real-time mitigation of detected threats
  • Investigate the latest tactics, techniques, and procedures in identity security in conjunction with threat intelligence teams in Cisco Talos
  • Lead the construction of labeled threat datasets and guide their use in machine learning applications
  • Understand the link between authentication policies and security outcomes and design algorithms to guide customers to improve their security posture
  • Represent a Data Science perspective during product development, helping teams appropriately prioritize data collection, feedback loops, and other prerequisites for future data work

Requirements

  • 6+ years professional experience in data science, analytics, or quantitative intelligence analysis
  • 4+ years experience in at least one data analysis and modeling language (like Python or R), including at least 2+ years experience with Python
  • Query and data analysis preparation using query languages such as SQL
  • Developing statistical and/or machine learning models in a business setting
  • Leading applied research within a team and/or experience mentoring junior data scientists

Nice-to-haves

  • Application of data science tools to tackle problems in the security domain
  • Graduate level education in statistics, data science, machine learning, computational sciences or similar
  • Software Engineering training or experience, and comfort working with the AWS ecosystem
  • Experience with large-scale data processing frameworks such as Spark
  • Experience working on a customer-facing SaaS product
  • Prioritizing and planning research work with collaborators such as engineering, product, and design teams

Benefits

  • Medical, dental and vision insurance
  • 401(k) plan with Cisco matching contribution
  • Short and long-term disability coverage
  • Basic life insurance
  • Numerous wellbeing offerings
  • Up to twelve paid holidays per calendar year, including one floating holiday and a day off for birthday
  • Accrual of up to 20 days of Paid Time Off (PTO) each year
  • Paid time away for critical or emergency issues without tapping into PTO
  • Additional paid time to volunteer and give back to the community
  • Employee Stock Purchase Program
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