Senior Data Ops Analyst- MEDIA
Human Security - New York, NY
posted 1 day ago
About the position
HUMAN was founded in 2012 in a Brooklyn sci-fi bookstore by Tamer Hassan, Michael Tiffany, Dan Kaminsky, and Ash Kalb. Our humble beginnings led to the creation of the Human Defense Platform, the backbone of all our products that safeguards enterprises from sophisticated bots, fraud, and account abuse. Today we verify the humanity of more than 20 trillion interactions per week for some of the largest companies and internet platforms. Our hacker roots still permeate everything we do. You will be a part of the HUMAN front line in our commitment to protecting companies (and in turn, their customers) from both revenue and reputation risk caused by digital attacks. However, HUMAN is not the center of this story. Humans like yourself are. We firmly believe in putting people first. This approach spans our extensive total rewards package, inclusive of competitive compensation, benefits, stipends - as well as our day-to-day culture - to ensure every human is empowered to do the best work of their life. We want to hear about the marathon you're training for. We want to see pictures of your pets. We want to know your favorite robot (we have many). Even if you're not a conventional "hacker" we can assure you that you are a hacker in your own right. We want to work with people like you who break down problems to build up better solutions. That's what makes us HUMAN. You'll be joining us at an exciting moment in the HUMAN story: we joined forces with PerimeterX in a market-changing merger, as well as recently acquired clean.io to enhance the Human Defense Platform. Together under the HUMAN brand, we will disrupt the economics of cybercrime. We hope you can join us in that mission. 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.
Responsibilities
- 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
Requirements
- 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
Benefits
- Competitive compensation
- Benefits
- Stipends
- Annual stipends for wellbeing and learning & development
- One-time home office setup stipend
- Weekly lunches
- Dedicated time off
- No-meeting Fridays
- HUMAN days
- Stock options and other incentive pay may be provided as part of the compensation package
- Full range of medical, financial, and/or other benefits
