Senior Data Operations Analyst, HUMAN

• 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

• 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
• 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

• Unlimited PTO
• HUMAN Days - full days off for the whole company so Humans can recharge
• Equity in the company
• Work from anywhere, anytime

Total funding: $181m

HUMAN develops threat intelligence software to detect and nullify online bots imitating humans. The company has been in operation since 2011, but was originally known as White Ops until Goldman Sachs acquired it in 2020.