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TITLE

 

Data Scientist, Analytics & Tooling

COMPANY

 

Shape Security

LOCATION

 

Salt Lake City, UT, US

Description

Shape Security is seeking a driven, analytical and highly professional individual who is looking to take on new challenges as an analytics and tooling lead, as part of the Shape Intelligence Center.
 
Today, Shape identifies and stops automated attacks against web and mobile applications of the Fortune Global 2000. Tomorrow, we’ll need to fight even more sophisticated adversaries for even more customers, while improving our efficacy. Help the team scale by developing tools and automating aspects of our analytics work, so that we can work smarter, faster and more effectively. Help the team tell better stories, and deliver even more useful insights for our customers.
If you have a passion for deriving actionable insights from complex big data sets, and love to develop beautiful and functional tools for data analytics and web security, then we’d love to talk with you.
 
 

Responsibilites

      • Automating workflows to enable scale. Identify aspects of existing workflows (e.g threat analysis and reporting, business intelligence, fraud analytics, attack forensics) that can and should be automated, and automate them. This will increase the productivity of human analysts and reduce human error. Aspects include identifying automation campaigns, spotting anomalous and fraudulent user activity, stepping through web application flows, and the entire process of putting together threat reports and briefings for customers.
 
      • Improving data visualization and analysis tools. Find new and creative ways to make sense of and visualize customer data, to deliver more useful insights, and to tell more powerful stories. Make these new methods accessible to other analysts within Shape by developing new tools, interfaces and or procedures. Rapidly iterate on prototype tools based on feedback from users.
 
      • Developing methods to identify cyber-enabled fraud. Develop tools and methods for the team to help customers detect and stop fraud, leveraging Shape’s capabilities, often based on large customer data sets. Collaborate within the team and with customers to improve these detection mechanisms.
 
    • Work cross-functionally both within the team and across teams in Shape. Identify issues that inhibit the team’s ability to scale, and work with other teams in Shape to fix them, including contributing code and time to selected engineering projects.

Requirments

    • Experience working with large-scale datasets.
    • Strong analytical skills including the ability to manipulate, model, interpret and visualize large quantities of structured data.A passion for developing tools for data analytics and visualization.
    • Experience working with cybersecurity / fraud / trust and safety teams preferred, but not required.
    • Proficiency in Python, Javascript, SQL, and familiarity with web and mobile technologies.
    • Experience with packages/tools/frameworks for data analytics and visualization (e.g. Jupyter notebooks, Pandas, Kibana, d3.js).
    • Strong interpersonal skills, personable, and persistent. A good listener.
    • Self-motivated, able to work well both independently and as part of an agile team.
    • A demonstrated enthusiasm and capacity to learn new technologies quickly.
    • A scrappy yet meticulous approach, and a love for problem solving!

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