Data Scientist
2 weeks ago
**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 Media Research team at HUMAN is dedicated to protecting the internet by disrupting the economics of cybercrime across the media and advertising ecostystems. 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 a Data Scientist to join our team to manage 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.
**What you'll do**:
- Conduct research in our emerging product capabilities to identify fraud in new product lines and work together with product and engineering teams to launch features that give our customers additional insight into their traffic.
- Devise techniques that leverage the signals we collect from ad interactions to produce robust automated fraud detection techniques, using meticulous experimentation to find techniques that are difficult for bad actors to adapt around.
- Support experiments on prospects and new clients that demonstrate the value of our emerging products by highlighting anomalies consistent with fraud and conflicting with standard programmatic advertising behaviors.
- 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.
**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 (e.g. Jupyter, Pandas, NumPy etc).
- 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
The base pay range for this position is $130,000- $150,000 which can include additional on-target commission pay/bonus. **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 t
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