Primary Responsibilities:

• Product ownership of several data science production-grade products
• Working with internal Cyber Defense customers to create new innovative uses for data science within cybersecurity
• Growing data scientist and data engineer team members into leaders
• Developing data science models within an operational CICD pipeline
• Developing solutions for technical users to access data from the Data Lake through a variety of means, including APIs, flat file extracts, or web applications
• Remaining up to date and on the cutting edge of Big Data technology
• Constantly learning and adapting the team to new techniques, languages, and technologies
• Understanding emerging technology in the data space and security threats against it

Required Qualifications:

• 7+ years of real-world data science experience in a large organization or supporting a large organization
• 3+ years of experience managing analytic teams that deliver the product
• Background experience with data engineering with an affinity for developing code from the command line
• Foundational knowledge in information technology, including hardware, networking, architecture, protocols, file systems, and operating systems
• 2+ years of experience implementing products within Big Data solutions including Hadoop, Spark, and Kafka
• 1-2 years utilizing Big Data resource and job managers including Oozie and YARN
• Relevant bachelors degree, or equivalent experiences
• Familiarity with the cybersecurity domain