Senior Director of Cyber Data Science & Machine Learning

San Mateo, CA

Full Time Senior level / Expert
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Guidewire Software
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Posted 1 month ago

Are you ready for a new challenge? We would love to see your background! Here at Guidewire, we are searching for an experienced analytics leader who is hungry for a rare chance to transform cyber-insurance from the inside out. Cyber is the #1 threat to US national security, above nuclear weapons. You will lead a team of cyber analysts, catastrophe modelers, data scientists and machine learning engineers to evolve the insurance industry’s leading cyber risk model and harness vast amounts of data to provide impactful business insights. You will collaborate with the Vice President of Data Science and Engineering.
Who We Are, What We Believe, & What We Build Guidewire is the AWS of insurance. As the market leader, 380 insurance companies run on our critical platform. Every second, we support underwriters crafting policies and agents settling claims. We believe that making a great decision should not require 100 in-house data scientists. Our products range from cyber risk quantification to potent ML sandboxes. We are a post-IPO company with the vision to redefine insurance. There is a lot to be done.
Who You Are You have deep expertise productizing machine learning and analytics to eradicate intractable problems. You have a natural curiosity for understanding the ever-growing threat posed by cyber-criminals to the world economy and institutions. You catalyze an unusual chemistry of vision and maniacal execution to quantify the unquantifiable and ship it. You are passionate about building an elite organization and vanquishing market inhibiting challenges.


  • Provide oversight of the design, architecture, and delivery of our cyber risk models and associated business insights
  • Lead a distributed team of cyber analysts, data scientists and risk modelers, providing mentorship, oversight and coaching, and encouraging their professional growth
  • Champion best practices across machine learning, data science, data engineering, and catastrophe risk modeling
  • Leverage a keen understanding of the cyber-insurance market to identify and develop new data sources and analytical solutions aligning to drive product innovation
  • Influence and work with senior management and colleagues across Guidewire’s other departments
  • Excellent written, oral and presentation skills and the ability to aim to agreement using a combination of persuasion, negotiation and rational judgement


  • MS or PhD in Applied Mathematics, Statistics, Computer Science, Engineering, or similar quantitative discipline
  • 10+ years hands-on technical experience with data science, analytics, server-side development; track record developing and deploying ML-based solutions to address industry problems
  • 5+ years demonstrated experience managing a large technical team; true passion for leading, inspiring, mentoring, and attracting world-class colleagues
  • Proficiency in various ML techniques, non/parametric models, model evaluation and calibration methods, anomaly detection, and model interpretability; familiarity with deep learning approaches for processing unstructured data
  • Proficiency in AWS (EC2,EMR, S3, SageMaker), Python, Spark, Kafka, Docker, and Kubernetes
  • Hands-on knowledge of cyber-security concepts in operating systems, cross-platform systems, software, and network protocols
  • Strong strategic eye for business married with innate execution focus, detail orientation, and superb communication
  • Experience in InsurTech, FinTech, and/or P&C domain knowledge
About GuidewireGuidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently.
Guidewire combines core, data, digital, analytics, and AI to deliver our platform as a cloud service. 380 insurers, including the largest and most complex in the world, run on Guidewire.
As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 700+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our marketplace provides hundreds of add-ons that accelerate integration, localization, and innovation.
Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.
Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to (650) 356-4940 or If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, call (650) 356-4940 or e-mail to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.
Job tags: AI AWS Deep Learning Engineering Kafka Kubernetes Machine Learning ML Python R Security Spark
Job region(s): North America
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