Senior Data Scientist – Payments ML, Remote, Stock Options

deuna; San Francisco (CA); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Remote work from anywhere

Stock options

Internet and cell phone stipend

Vacations and additional PTO

Job summary

DEUNA in San Francisco seeks a hands-on Data Science Leader to own ML and experimentation for our payments platform. You will design, train, and validate models that boost conversion, cut declines, and reduce fraud in real-time payment flows across merchants and providers.

You will build the foundations of our data science practice, collaborate with data engineering and BI teams, and guide ML infrastructure evolution, with potential for people leadership as the team grows.

Qualifications

• 5+ years applying ML to production problems in payments/fintech/fraud.
• Ability to design, train, and validate models for real-time use.
• Experience designing and running experiments, including A/B testing.

Responsibilities

• Own end-to-end modeling lifecycle for payments use cases: analyze data, define strategy, generate features, train and tune models, release via inference infrastructure.
• Build the experimentation framework to measure performance and tie results to merchant contracts and product roadmap.
• Partner with data teams to define data processing pipelines and surface insights to shape DEUNA's offerings.

Skills

ML in production

Feature engineering

Experimentation

Python

SQL

Tools

Snowflake

TensorFlow

Airflow

Job description

DEUNA in San Francisco seeks a hands-on Data Science Leader to own ML and experimentation for our payments platform. You will design, train, and validate models that boost conversion, cut declines, and reduce fraud in real-time payment flows across merchants and providers.

You will build the foundations of our data science practice, collaborate with data engineering and BI teams, and guide ML infrastructure evolution, with potential for people leadership as the team grows.