Senior Data Scientist, Reporting Analytics

The mission for this role is to create and maintain features in the AttackIQ backend to create Business Intelligence, actionable Customer Insights and Recommendations by using different data-sources.

About the Role

  • Will lead the research and development of new models and analytic products
  • Will participate in discussions with domain experts to build on their knowledge to the model creation process
  • Will explore and analyze data to quickly prototype insights by talking to the domain experts to answer targeted questions.
  • Will design, develop and maintain data pipelines and deploy models/analytics
  • Will design and develop the data model for OLAP from existing OLTP sources
  • Will develop and manage Machine Learning and Analytics Platform
  • Will contribute to existing microservices to create new data and analytics products

Requirements

  • Strong communication (written and verbal) skills
  • Self-starter and comfortable leading the charge with the mindset of progress over perfection with hands-on experience solving real world problems with Data Engineering & Data Science
  • Strong experience developing and deploying machine learning models in production settings
  • Prior experience applying a wide variety of unsupervised and supervised machine learning and statistical techniques solving real world problems, and also have first hand experience building models or other analytic products that have been deployed to customers
  • Prior experience with one of the managed machine learning platforms (e.g. Amazon Sagemaker, KubeFlow or DataBricks)
  • Hands-on experience using libraries like pytorch, tensorflow, numpy, pandas, sklearn, and scipy
  • Hands-on experience with Big Data ETL processes, Data visualization & Data Exploration techniques
  • Experience using Hadoop and Spark
  • Strong command over relational and non-relational databases
  • Strong coding experience with Python/Golang
  • Understand DDD, Event Sourcing, and CQRS

Highly Desired

  • Experience working with any one of web-frameworks (e.g., Django, Flask or FastAPI)
  • Prior experience implementing Microservices-oriented architectures
  • Prior experience with Apache Airflow
  • Prior experience with terraform
  • Prior experience with Kubernetes
  • Prior experience with AWS technology stack
  • Prior experience with Kafka
  • Some cybersecurity experience

How to Apply

Send an email to jobs@attackiq.com with Subject Line: “Senior Data Scientist, Reporting Analytics”


Note to all recruitment agencies
AttackIQ does not accept agency resumes without a signed agreement. Please do not forward resumes to our jobs alias, our employees, or any other company location. AttackIQ is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with us.

At AttackIQ we value diversity and are proud to be an equal opportunity employer.