Sr Data Science Engineer - LifeLock ID Protection

Mountain View, CA, United States Posted 4 hours ago

About the Symantec LifeLock CBU team.

Be part of engineering team that is responsible for building high-performance and scalable data systems and APIs for LifeLocks Identity Protection Service.

Responsibilities:

  • Work closely with product teams, architects and application teams, service delivery and product security team to understand platform requirements and translate them into software requirements.
  • Prototype and design solutions to address the software requirements using object oriented analysis and design methodology.
  • Evaluate and leverage open source technologies
  • Develop and maintain highly performant backend systems and APIs for data movement, data processing.
  • Work closely with service delivery team to troubleshoot production issues to ensure timely resolution, service availability and quality.
  • Mentor and provide technical guidance on application development to junior members of the team

Qualifications:

  • Bachelor’s degree in Computer Science or equivalent
  • 4-8 years of hands-on experience in software development
  • Proficiency in one or more of the following:
    • Java
    • Python
    • Scala
    • C++ (optional, nice to have)
  • Proficiency in Machine learning life cycle
  • Experience in building a scalable machine learning pipelines and predictive models
  • Experience with one or more statistical and machine learning packages or frameworks such as H2O.ai, R, MLlib, Tensorflow
  • Experience with big data technologies such as Hadoop M/R, Spark, Flink, AWS EMR, Presto, Druid
  • Experience with relational (SQL) and NoSQL Databases
  • Experience in working with data flows, data architecture, ETL and processing of unstructured data
  • Experience in building data lake, experimentation platform is a big plus
  • Experience in working with open source frameworks such as Hibernate and Spring
  • Experience building RESTful APIs and services
  • Experience in developing applications using Amazon cloud computing services.
  • Strong analytics, problem solving and communication skills
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