Senior Data Scientist- Operational Efficiency

Posted Yesterday
New York, NY
Hybrid
135K-170K Annually
Senior level
AdTech • Cloud • Information Technology • Machine Learning • Security • Software • Cybersecurity
We safeguard 1,200+ brands from digital attacks including bots, fraud and account abuse with Modern Defense.
The Role
The Senior Data Scientist in Operational Efficiency at HUMAN is responsible for building automation and capabilities to detect and disrupt novel bot attacks using machine learning techniques. They will support experiments to demonstrate the value of automation solutions and contribute to the team's responsibilities in reviewing work, monitoring anomalies, and improving toolsets.
Summary Generated by Built In

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.


Join the Operational Efficiency team at HUMAN, where we are revolutionizing internet security by dismantling the financial incentives of cybercrime. Our dynamic team of data scientists is at the forefront of innovation, transitioning from reactive manual interventions to cutting-edge automated solutions. By leveraging the latest advancements in machine learning, we not only thwart cyber threats but also empower our analysts with superhuman capabilities.


We are seeking a passionate Data Scientist to be a key player in our mission to outsmart the most sophisticated botters on the internet. This role uniquely blends data, technology, and business insights, offering you the opportunity to deeply understand cybercriminal tactics and contribute to the creation of a robust, customer-centric product. If you are driven by the challenge of staying ahead in the cyber arms race and are excited about making a tangible impact, we want you on our team.


What you'll do:

  • Develop and refine automated solutions: Build upon our existing automation and data science platforms to automate reactive and proactive actions for detecting and disrupting novel bot attacks.
  • Create robust fraud detection techniques: Devise techniques that leverage our collected signals to produce robust automated fraud detection methods, using rigorous experimentation to ensure resilience against evolving threats.
  • Support and validate automation solutions: Contribute to experiments that demonstrate the value of our emerging automation solutions by identifying and analyzing anomalies indicative of fraud.
  • Collaborate with the team: Actively participate in team responsibilities, including code reviews, anomaly monitoring, and technical debt management.
  • Enhance our operations toolsets: Contribute to the development of our operations toolsets to improve efficiency, automate tasks, and create innovative methodologies.
  • Drive continuous improvement: Demonstrate a strong sense of ownership and a commitment to finding ways to do things better, faster, and leaner.
  • Boost cross-team integration and insights: Break down barriers by collaborating with other project owners to join datasets and automate actions across the ecosystem

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 models to production.
  • You are proficient with Python and SQL and familiar with related tools, libraries and platforms (e.g. Pydantic, Jupyter, Pandas, NumPy etc). You are fluent in Object Oriented development and have strong debugging skills. You have experience using templates and stored procedures for SQL queries.
  • You have experience with technologies like Kubernetes, Airflow, Vertex AI, Cloud Run, and BigQuery. You are comfortable building and interfacing with APIs.
  • You are not afraid of diving deep into parallelization, threading, state machines, and lexers to solve problems and build new capabilities.
  • You have a good understanding of the principle technologies underpinning the web.
  • 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; and following SDLC best practices: project management, version control, unit testing, and CI/CD

The base pay range for this position is $160,000- $190,000 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 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.

Top Skills

Python
The Company
HQ: New York, NY
393 Employees
Hybrid Workplace
Year Founded: 2012

What We Do

We stop bot attacks. Today’s sophisticated bots impersonate human behavior to evade detection technologies. To defeat today's bots, we use a unique multilayered approach that enables us to verify the humanity of digital interactions with unmatched speed and accuracy across Applications, Performance Marketing, and Advertising use cases.

Why Work With Us

Fighting cybercrime is not easy. We’re constantly pitted against well-funded and highly-skilled hackers and botnets. In order for us to stay ahead of our adversaries, we solve problems unconventionally, move fast, and create ‘tau’ for each other to stop them. If our mission to keep the internet human appeals to you, we should talk.

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