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Principal Threat Scientist - US Remote

Company: SignalFx
Location: San Francisco
Posted on: February 25, 2021

Job Description:

Engineering San Francisco, California San Jose, California Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we're committed to our work, customers, having fun and most importantly to each other's success. Learn more about Splunk careers and how you can become a part of our journey! Splunk's Threat Science team is the R&D arm of the Splunk Threat Research team. The Threat Science team stays on top of the emerging threat landscape and develop either novel detections or improve existing detections in ways that significantly improve upon the state of the art. We tackle a spectrum of security problems facing analysts using data driven approaches to develop our solutions across threat detection and assisting the analyst. We are hiring motivated Scientists across all these areas. The ideal candidate will be a critical thinker who is passionate about using data to solve challenging security problems and is excited to work in a fast-paced environment. Role: As a Threat Scientist in Splunk's Threat Science Group you will be responsible for developing new machine learning models for detecting security threats and improving the analyst experience in our security products. You'll work closely with our top engineering and product teams to identify and work on next generation product features and functions to drive product innovation and industry disruption. Responsibilities:

  • Work closely with Engineering, Product and Customers to scientifically frame the security problems and come up with the machine learning models.
  • Perform exploratory data analysis to gain deeper understanding of the data.
  • Develop and test statistical and machine learning models.
  • Write production quality code to build models and work with Software Engineering teams to deploy them in production. Requirements:
    • Minimum of 12+ years of related experience with a Bachelors in Computer Science, Computer Engineering; or 8+ years and a technical Master's degree; or a PhD with 5+ years' experience; or equivalent experience.
    • Strong understanding of modern machine learning techniques and their mathematical concepts.
    • 5+ years of professional experience in research, data science or engineering around build and shipping machine learning or statistical models.
    • You have expert level skills in python or scala
    • You have an uncanny ability to learn new technologies quickly and are not afraid to share your hard-won insights with fellow team members.
    • You have excellent problem-solving skills with great attention to detail, as well as strong communication and interpersonal skills (both verbal and written).
    • Self starter with a passion and curiosity for solving challenging security problems with data. Desirable, but not required:
      • Expertise in developing software on a public cloud platform (e.g. AWS, GCP, MS Azure etc.)
      • Expertise in developing software with stream processing technology (e.g. Flink, Kafka, AWS Kinesis etc.)
      • Experience developing and putting into production test automation and CI/CD systems We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying. For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records. Splunk turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges.

        Individuals seeking employment at Splunk are considered without regards to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition (except where physical fitness is a valid occupational qualification), genetic information, veteran status, or any other consideration made unlawful by federal, state or local laws. Click here to review the US Department of Labor's EEO is The Law notice. Please click here to review Splunk's Affirmative Action Policy Statement.

        Splunk also has policies in place to protect the personal information candidates disclose to us as part of the application process. Please click here to review Splunk's Career Site Privacy Policy.

        Splunk does not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Please click here to review Splunk's Pay Transparency Nondiscrimination Provision.

        For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.

        Splunk is also committed to providing access to all individuals who are seeking information from our website. Any individual using assistive technology (such as a screen reader, Braille reader, etc.) who experiences difficulty accessing information on any part of Splunk's website should send comments to accessiblecareers@splunk.com . Please include the nature of the accessibility problem and your e-mail or contact address. If the accessibility problem involves a particular page, the message should include the URL of that page.

        Splunk doesn't accept unsolicited agency resumes and won't pay fees to any third-party agency or firm that doesn't have a signed agreement with Splunk.

        To check on your application click here . You have been redirected to a Splunk job page

Keywords: SignalFx, San Francisco , Principal Threat Scientist - US Remote, Other , San Francisco, California

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