Lead Data Scientist, Payments ML & Experimentation

DEUNA; Oregon; Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

PTO & vacations

Remote work

Internet & phone support

Stock options

Diverse team

Growth and career path

Startup culture

Job summary

DEUNA is actively seeking a hands-on data science leader to own machine learning and experimentation for its payments platform. You will design, train, and validate models to increase conversion, reduce declines, and lower fraud in real-time payment flows across merchants and providers.

You will guide the data science practice, collaborating with data engineering and BI teams, with potential for people leadership as the team grows.

Qualifications

• 5+ years of experience applying machine learning to real production problems, ideally in payments, fintech, fraud, or other high-volume transactional environments.
• Hands-on depth in feature generation, model selection, training, and hyperparameter optimization, and know when a simple model beats a complex one.
• Experience designing and running experiments, including A/B testing and experimentation platforms, with ability to explain validated impact to leadership.

Responsibilities

• Own the end-to-end modeling lifecycle for DEUNA’s payment optimization use cases: analyze data, define modeling strategy, generate features, train and tune models, and release them through our inference infrastructure.
• Build the experimentation framework to measure model performance, collaborating with system and infra engineers, and tie performance to merchant contracts and product pipelines.
• Partner with data teams to define and track data processing pipelines that surface actionable insights and iterate models with merchant data.

Skills

Machine Learning

Python

SQL

Snowflake

TensorFlow

Airflow

Experimentation

A/B Testing

Communication

Tools

Snowflake

TensorFlow

Airflow

Python Ecosystem

Job description

DEUNA is actively seeking a hands-on data science leader to own machine learning and experimentation for its payments platform. You will design, train, and validate models to increase conversion, reduce declines, and lower fraud in real-time payment flows across merchants and providers.

You will guide the data science practice, collaborating with data engineering and BI teams, with potential for people leadership as the team grows.