Data Ops Analyst

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. 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: 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 Deploy long-term defenses based on statistical analysis of supply chain data and fraud actor behavior Deliver new customer-facing features through collaboration with Product and Engineering teams team Build complex queries and reports to analyze historical data, including the use of techniques such as: sub-queries, temp tables, complex joins, variables Triage customer and internal inquiries about fraud efficacy by acting as first line of analysis 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 analyses 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 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 You are communicative and go out of your way to support your team Proficiency in SQL Experience working with multi TB to PB data sets in cloud databases Experience improving processes and implementing tooling to accelerate analysis Python experience or exposure preferred AdTech experience or exposure preferred The base pay range for this position is $130,000- $150,000 which can include additional on-target bonus and/or incentives. The base pay offered may vary depending on location, job related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position ultimately offered. HUMAN prides itself on being an equal opportunity workplace. We firmly believe in putting people first regardless of who you are, where you come from, how you identify, or who your favorite robot is (we have many). We are on a mission to protect the integrity of the internet for everyone, so we welcome all individuals to come to share their unique experiences and perspectives as we fight against cybercrime together! With Humans located in all parts of the world, we've fully embraced our diversity of thought and are always looking for innovative ways to connect with one another - even in virtual reality! Although New York City is our HQ, we have teams in Tel Aviv, Israel; London, UK; Victoria, Canada; San Mateo, CA; Miami, FL; and Virginia. We trust our Humans in choosing where they work and how they work. The total rewards package we provide reflects our commitment to our Humans' personal career development, which includes annual stipends for wellbeing and learning & development, and a one time home office setup stipend. We also offer weekly lunches, dedicated time off, no-meeting Fridays (for our U.S. and Intl. based HUMANs), HUMAN days, and so much more. We're constantly trying to anticipate the needs of our Humans to ensure each one of us is equally prepared to do some of the best work of our life. Taking care of one another is part of the HUMAN experience and how we build true HUMAN connections. If you are an individual with a disability or special need that requires accommodation, please contact us directly.

Created: 2024-11-05