Lead Data Scientist, Fraud & Bot Detection at Scale

United States Digital Space LLC; United States; Hybrid; USD 215,000 - 270,000; Full time

Benefits offered by this job

Equity plan

401(k) Retirement Savings Plan

Medical Insurance

Dental Insurance

Vision Insurance

Job summary

the company’s Detection team is hiring a senior data scientist/ML engineer to build and scale detection models for fraud, abuse, and bots at internet scale. You will work with ML engineers, data engineers, and product teams to deliver reliable solutions that protect users and networks.

We value experience with Python and SQL in production, strong statistics, and the ability to make high-stakes decisions with imperfect ground truth.

Qualifications

• 8-10 years of professional experience in Data Science, ML Engineering, or Software Engineering.
• Strong fundamentals in statistics, ML, and AI.
• Experience detecting fraud/bots at scale in high-velocity data environments.

Responsibilities

• Lead the research, design, and evaluation of detection models for automated, fraudulent, and malicious activity across Internet-scale data.
• Mentor others in uncovering patterns and behaviors that distinguish adversaries from legitimate users.
• Own the detection measurement framework, defining metrics and evaluation strategies under noisy ground truth.
• Drive adoption of AI/ML techniques and represent the company in the research community.
• Drive cross-functional partnerships with ML Engineers, Data Engineers, and Product; influence roadmaps and align detection strategy with company priorities.
• Shape long‑term detection strategy across multiple product areas.

Skills

Fraud and bots at scale

Python & SQL

Data science fundamentals

Tools

Python

SQL

ML frameworks

Job description

the company’s Detection team is hiring a senior data scientist/ML engineer to build and scale detection models for fraud, abuse, and bots at internet scale. You will work with ML engineers, data engineers, and product teams to deliver reliable solutions that protect users and networks.

We value experience with Python and SQL in production, strong statistics, and the ability to make high-stakes decisions with imperfect ground truth.