Kenna Security is revolutionizing cyber risk with a SaaS-based platform that uses data science to combine vulnerability data with exploit intelligence to measure risk, predict attacks and prioritize remediation. We are leading the way in helping enterprises reduce their risk while increasing their efficiency and preventing attacks. Kenna Security was recently named one of the top 10 hottest start-ups and named to the Inc. 500 fastest growing companies list.

We are looking for a Sr Engineer to join our growing Research and Data Science team. This person will be responsible for expanding and optimizing our data and data pipeline, as well as optimizing data flow and collection for cross-functional teams. The Engineer will support our data scientists, researchers and software engineers on data initiatives and will ensure optimal data delivery is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited to support our next generation of products and data driven initiatives.

RESPONSIBILITIES

• Create and maintain optimal data pipeline.
• Building functional prototypes to support Research team initiatives.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Work with data scientists and researchers to design, implement, extend, tune and scale Data Science and Machine Learning libraries, frameworks, algorithms, pipelines, and tooling
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and other ‘big data’ technologies.
• Create tools for Research team members that assist them in building and optimizing our product.
• Work with Engineering and Product to build interfaces that allow our platform to consume insights from Research and Data Science teams.
• Research, Prototype, Test, & Implement new technologies

QUALIFICATIONS

• Advanced working SQL knowledge and experience working with relational databases, query authoring as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Conceptual familiarity with common machine learning techniques: classification, regression, decision trees, etc.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience with machine learning libraries and frameworks such as Tensorflow, Keras, and SciKit Learn.
• Experience with relational SQL and NoSQL databases, including Postgres and MySQL.
• Experience with storage/search and related logging/presentation techniques (e.g. Elasticsearch/Kibana,S3, fluentd, Solr/Lucene)
• Experience with cloud services: EC2, EMR, RDS, Redshift, BigQuery.
• Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
• Experience deploying and supporting software in a production SaaS environment.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.