Staff Data Scientist for Risk Based Authentication (New York, NY) (Remote Eligible)

This is an opportunity to join our fast-growing Security Intelligence Platform team to develop cutting-edge risk-based authentication and authorization policies. We are looking for a Staff Level Data Scientist to build data models and use machine learning to solve business problems in security, authentication, and identity. The ideal candidate has experience building data models from complex systems, developing enterprise grade software in an object-oriented language, and experience or knowledge in security, authentication or identity.

Job Duties and Responsibilities:

  • Build and own forecasting models that will identify risk associated with authentication such as anomalous activity
  • Research new user behavior to discover patterns, find opportunities to improve detection
  • Partner with product team to define requirements for successful model builds
  • Work closely with engineering team and management to scope and plan engineering efforts
  • Work with Infrastructure team on tooling requirements for big data
  • Test-mindset development, design and code reviews

Minimum REQUIRED Knowledge, Skills, and Abilities:

  • 5+ years experience building data models as a Data Scientist
  • Skilled in building data models and using machine learning algorithms for classification and regression
  • Excellent grasp of software engineering fundamentals
  • Advanced Python Development
  • Expert knowledge of Tensorflow, Sagemaker or a similar machine learning platform

Additional Desired Knowledge, Skills, and Abilities:

  • 3+ years of software development experience in an object-oriented language building enterprise grade highly reliable, mission-critical software
  • Experience with multi-factor authentication, security, or identity
  • Experience with Java
  • Experience with streaming systems: MQ, Kafka, Storm, Spark, etc.
  • Experience with the AWS data toolchain: EMR, Kinesis, Redshift, Glue

Education and Training:

  • B.S, M.S, or PhD in computer science, data science, machine learning, information retrieval, math, or equivalent work experience

 

Okta is an equal opportunity employer

Okta is rethinking the traditional work environment, providing our employees with the flexibility to be their most creative and successful versions of themselves, no matter where they are located.  We enable a flexible approach to work, meaning for roles where it makes sense, you can work from the office, or from home, regardless of where you live.  Okta invests in the best technologies and provides flexible benefits and collaborative work environments/experiences, empowering employees to work productively in a setting that best and uniquely suits their needs

 

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