Data Scientist, HUMAN
Enterprise
$90-150k
Bot mitigation & fraud detection platform
Open for applications
Bot mitigation & fraud detection platform
201-500 employees
Open for applications
$90-150k
201-500 employees
Company mission
Human Security's mission is to protect the heart of the internet by disrupting the economics of cybercrime.
Role
Who you are
- You have experience solving large-scale, data-intensive problems in production systems (we process trillions of events per day, so literacy with large datasets is a must!)
- You can explain the nuances of different statistical modeling approaches and make informed decisions on which to use, whilst also having the engineering awareness of the realities of shipping working code to customers
- You are proficient with Python and SQL and familiar with related tools, libraries and platforms. You are fluent in Object Oriented development and have strong debugging skills
- 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 have experience working on cross-functional projects, with multiple stakeholders - both technical and non-technical; and following SDLC best practices: project management, version control, unit testing, and CI/CD
What the job involves
- The Enterprise Research team at HUMAN is dedicated to protecting the internet by disrupting the economics of cybercrime
- Our team of Data Scientists research and develop algorithms to detect bots and fight fraud.
- We use statistical and machine learning techniques, in both offline and real-time infrastructures, to provide our customers with proactive security and insights into their attacks.
- We’re looking for a Data Scientist to join our team to support the full-cycle of fraud fighting: from the early stages of gathering business requirements and exploratory research to the development and deployment in production 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
- Partner with Product, Engineering, and Analysts to support our business goals in improving bot detection, building out competitive product features, and optimizing our data and ML infrastructure
- Research and experiment with the latest detection frameworks in cyber security and fraud, statistical techniques, and ML tooling
- Support the growth of best practices and Data Science standards in detection and modeling
- Be an active participant in team responsibilities, including reviewing other data scientists’ work prior to launching new detection rules/algorithms, our ‘sheriffing’ process where we proactively monitor anomalies arising in our systems and taking part in ‘tech-debt days’ to keep our codebase clean and healthy
- Contribute to our growing DS toolsets, that ‘creating tau’ (disproportionate leverage) by accelerating our team’s ability to find fraud, automating cumbersome tasks, and creating novel methodologies. by empowering the other humans around you
Our take
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.
It’s estimated that enterprises lose around 5% of their annual online revenue because of bot fraud, which makes up a vast majority of all internet attacks. Skyrocketing bot traffic online since 2020 has led to a massive uptick in demand for services like HUMAN's, and the company now counts the likes of Adobe and Yahoo as customers.
HUMAN has established itself as a leader in its market, operating on five continents. With the Goldman Sachs acquisition and strong funding at its back, the company is showing no signs of slowing down. It has continued to bolster its position by merging with web app safeguarding business PerimeterX, as well as acquiring anti-malvertising leader clean.io. In 2024 it announced a string of new leadership hires amidst accelerated investment in the public sector.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Oct 2024
$50m
GROWTH EQUITY VC
Jan 2022
$100m
GROWTH EQUITY VC
Total funding: $181m
Company benefits
- Unlimited PTO
- HUMAN Days - full days off for the whole company so Humans can recharge
- Equity in the company
- Work from anywhere, anytime
Company values
- Put Humans First: Serving the needs of our customers, partners and colleagues is core to protecting the integrity of the internet. Stay humble and deliver value
- Be A Hacker: All our Humans are hackers in their own right. If you have an idea, move forward with it despite the obstacles ahead. Unblock yourself, and dive into your potential
- Win as a Team: Be an exceptional teammate. We’re stronger together. Collaborate often and with intention - whether across departments or oceans
- Create Tau: If there’s a better way of doing something, make it happen. Empower others to do the same by being a bridge-builder and a toolmaker. That’s what makes us good at what we do
- Own It: Take accountability. Own it when things don’t turn out as planned, and remember to learn along the way. It’s all part of being human
- Be Good: Safeguarding the internet means using your skills and privilege responsibly to enact change. Take those skills and extend a hand wherever you go. When you can, tip the balance of the world in favor of good
Company HQ
New York City, New York, USA
Articles
Leadership
Tamer Hassan
(Executive Chairman)Former pilot & officer in the United States Air Force. Founder & former CEO at big data analytics company, Compel Data Technologies.
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