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.
- 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 analyst toolsets: Contribute to the development of our analyst toolsets to improve efficiency, automate tasks, and create customer-first 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
- Create robust fraud detection techniques: Devise techniques that empower our detection team to leverage our collected signals and produce robust automated fraud detection methods, using rigorous experimentation to ensure resilience against evolving threats.
Who you are:
- You have a good understanding of the principal technologies underpinning the web.
- 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 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 working on cross-functional projects, with multiple stakeholders; and following SDLC best practices: project management, version control, unit testing, and CI/CD
- You have experience with container and orchestration technologies, such as Docker, Kubernetes, Airflow, Vertex AI, and Google Cloud Run. 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 that scale.
- You have some experience with applying machine learning techniques, such as supervised learning or LLM prompt engineering, to real-world problems. You're eager to learn new techniques and technologies, and are comfortable working with various data science tools and libraries
- 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
- Level of Experience - Senior, 5-7 years of experience
Other Jobs from HUMAN
Staff Data Scientist
Senior Backend Engineer, Code Defender
Senior Channel Solutions Engineer
Sr. Python Engineer
DevOps Engineer
Similar Jobs
Data Science & Machine Learning Intern (Summer 2025)
Staff, Machine Learning Engineer
Principal Data Scientist
Intern - Data Scientist
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 401 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got about 70,000 jobs from 5,000 vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 5,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say