HUMAN (formerly White Ops) is a cybersecurity company that protects organizations by disrupting bot attacks, digital fraud and abuse. We leverage modern defense to disrupt the economics of cybercrime by increasing the cost to cybercriminals while simultaneously reducing the cost of collective defense. Today, we verify the humanity of more than 20 trillion digital interactions per week across advertising, marketing, e-commerce, government, education and enterprise security, putting us in a position to win against cybercriminals.

The Research team at HUMAN is dedicated to protecting the internet by disrupting the economics of cybercrime. Our team builds automated detection techniques that both mitigate against known botnet operations, but also are adaptable enough to find new fraud quickly and effectively across a variety of environments and threat types.

We’re looking for an Analyst to join our team to manage the full-cycle of fraud fighting: from the early stages of exploratory research to the development of statistical detection techniques. This role is at the intersection of data, technology, and business as we aspire to deeply understand how actors are perpetrating schemes and develop a powerful product to delight our customers.

What you'll do:

Lead research initiatives for 1-3 of our largest customer accounts, providing specialized insight reports into threats and data quality
Identify top customer concerns and common issues to improve our product systematically

Serve as the representative of the Research/Detection team by presenting analysis during business reviews and other customer calls

Deliver new customer-facing features through collaboration with Customer Success Engineering teams

Identify impactful detection leads that increase velocity from time of threat identification to implementation of mitigation in HUMAN products

Deploy stop-gap defenses for emerging threats through the development of analyses, models, algorithms, and dashboards

Build complex queries and reports to analyze historical data, including the use of techniques such as: sub-queries, temp tables, complex joins, variables

Maintain product excellence and efficiency through improvements to existing techniques and tooling that reduce the time to understand a new detection lead and process it

Build detailed documentation of models, algorithms, and analyzes to build visibility and auditability of work

Who you are:

You have a good sense of ownership which drives you to find ways to do things better, faster, and leaner; you hold yourself accountable for the quality and accuracy of your work

You excel at presenting complex data in a clear and engaging manner for non-technical audiences

You are enthusiastic about providing exceptional customer support and have direct experience working with strategic clients

You look to find new and innovative ways to tackle complex problems through meticulous experimentation and application of emerging technologies

You are open and transparent and work in tight collaboration with other team members on data projects and cross-departmentally
Proficiency in SQL

Python experience or exposure, such as usage of Jupyter notebooks, strongly preferred

AdTech experience or exposure preferred, such as knowledge of the ORTB programmatic ecosystem and protocols, knowledge of DSP vs. SSP relationships, and the basics of how ads are served

Experience working with multi TB to PB data sets in cloud databases preferred