We are security and web experts, pioneers, evangelists, and elite researchers. We believe in the power of the Internet to be a positive force; our mission is to protect every website and mobile app from cybercriminals. Shape's founders fought cybercrime at the Pentagon, Google, and other leading security companies. We are backed by some of the most prominent leaders and investors in the technology industry including Kleiner Perkins, Google Ventures, and more. Come be a part of our unparalleled team that is responsible for making the Internet a safer place for everyone.
Shape Security is seeking a driven, analytical and highly professional individual to help shape the future of what we build at Shape Security. You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into real products on a regular basis. The perfect candidate will have a background in a quantitative or technical field, will have experience working with large data sets, and is passionate about solving tactical problems day to day while keeping an eye on long term product strategy. You are focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a product.
Today, Shape identifies and stops automated attacks and fraud against web and mobile applications of the Fortune Global 2000. Tomorrow, we'll need to fight even more sophisticated adversaries, while helping human users to have ever more frictionless experience.
If you have a passion for deriving actionable insights from complex big data sets, and love to help the product team make data-driven decisions, then we'd love to talk with you.
Analyze large volumes of web and mobile traffic of Global 2000 organizations both on a regular and ad-hoc basis, including exploratory analysis that uncovers current customer pain and future product opportunitiesBuilding and analyzing dashboards and reports that produce meaningful insights; define, evaluate and monitor key metrics that contributes to customer success;Perform cohort and sensitivity analysis that helps us identify key levers that maximize customer delightBe a strong voice for a data-informed point of view when working with cross functional teams (product, engineering, professional service, sales)
5+ years analytical 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 to use data to help inform product decisions.A strong understanding of experimentation and statistical analysis.Proficiency in SQL and in at least one major programming language (eg Python, Java and/or C/C++.).Proficiency in packages/tools/frameworks for data analytics and visualization (eg Jupyter notebooks, Pandas, Kibana, d3.js) highly preferred.A scrappy yet meticulous approach, and a love for problem solving!Strong interpersonal skills, personable, and persistent. Self-motivated, able to work well both independently and as part of an agile team.Demonstrated enthusiasm and capacity to learn new technologies quickly.Bachelor's degree in a quantitative discipline such as Computer Science, Engineering, Statistics, Economics, or Operations Research required.