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Job Description

Own complex, high-ambiguity security analytics problems and deliver scalable data science models to protect customer trust.

Responsibilities

  • Define problems and solution approaches independently in ambiguous, open-ended security data science spaces
  • Process and analyze large datasets using a broad set of data science techniques, choosing the right method for the situation
  • Build and run experiments to validate approaches and drive measurable outcomes
  • Deliver scalable models that efficiently analyze large data sets
  • Develop mathematical models to detect and classify specific data elements with high accuracy
  • Prototype models using high-level modeling languages such as R, and software languages such as Python
  • Lead large projects requiring both business and technical domain expertise, focused on significant business benefit
  • Influence multiple teams and build consensus with business, science, and engineering stakeholders
  • Advise senior managers and directors on data-driven security decisions
  • Mentor and develop other scientists
  • Conduct data science technical assessments
  • Participate in science and data-engineering code reviews
  • Create, enhance, and maintain technical documentation
  • Present findings to other scientists and business leaders, keeping teams current on relevant scientific advancements

Requirements

  • 5+ years of experience with data querying languages such as SQL, scripting languages such as Python, or statistical/mathematical software such as R, SAS, Matlab, etc.
  • 4+ years of experience as a Data Scientist
  • Experience with statistical models such as multinomial logistic regression

Preferred Qualifications

  • 2+ years of experience with data visualization tools such as AWS QuickSight, Tableau, and R Shiny
  • Experience managing data pipelines
  • Experience leading and mentoring on a data science team

Tech Stack

  • SQL
  • Python
  • R
  • SAS
  • Matlab
  • Multinomial logistic regression
  • AWS QuickSight
  • Tableau
  • R Shiny

Location and Compensation

  • Location: Seattle, WA (onsite)
  • Salary: USD 159,200 - 215,300 per year
  • Experience: 4+ years

Benefits

  • Sign-on payments
  • Restricted stock units (RSUs)
  • Health insurance (medical, dental, vision, prescription; Basic Life & AD&D; option for Supplemental life plans; EAP; Mental Health Support; Medical Advice Line; Flexible Spending Accounts; Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • Paid time off
  • Parental leave

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