Senior Data Scientist: Detection & Time-Series Modeling

TWG AI; Santa Monica (CA); On-site; USD 190,000 - 290,000; Full time

Job summary

TWG AI is seeking a Senior Data Scientist for Detection & Modeling to own features and models powering surveillance systems. You will work across two detection stacks, shaping architecture with robust statistics and calibrated signals, from the US venue to DeFi contexts, in a hands-on modeling role.

Based onsite in Santa Monica or New York, you’ll collaborate with teams to evolve labels, improve detector calibration, and deliver explainable, scalable solutions for complex financial data.

Qualifications

• Strong feature engineering on time-series or transactional data.
• Hands-on anomaly detection and unsupervised methods experience.
• Solid statistical foundations and calibration with imperfect labels.
• Production ML: ship, monitor, maintain models over time.
• Scalability across detectors, market types and venues.
• Experience in fraud, risk, integrity, or market surveillance is a plus.
• Familiarity with FIX / market microstructure is a plus; on-chain data knowledge is a plus.

Responsibilities

• Design and refine features on large-scale financial time-series and on-chain data.
• Develop and improve anomaly-detection models across supervised and unsupervised approaches.
• Evolve model architectures as labels accumulate across venues and substrates.
• Improve detector calibration so scores are trustworthy and comparable across market types.
• Partner with validation and analyst teams on labeling pipelines.

Skills

Feature engineering

Anomaly detection

Statistical calibration

Production ML

Model scalability

Fraud risk domain

FIX fluency

On-chain data familiarity

Tools

Isolation Forests

Autoencoders

Density-based methods

Job description

TWG AI is seeking a Senior Data Scientist for Detection & Modeling to own features and models powering surveillance systems. You will work across two detection stacks, shaping architecture with robust statistics and calibrated signals, from the US venue to DeFi contexts, in a hands-on modeling role.

Based onsite in Santa Monica or New York, you’ll collaborate with teams to evolve labels, improve detector calibration, and deliver explainable, scalable solutions for complex financial data.