Full Stack Data scientist

Job Title: Full Stack Data scientist
Location: Remote

This role requires both the scientific mindset of engaging deeply with problems and experimentation and the engineering mindset of building solutions that are reliable, repeatable, and production-ready. The ideal candidate will have reverence for truth, humility, willingness to learn, and a passion for social good.

What You ll Do

Own the full lifecycle of predictive and generative models: problem understanding, solution design, feature creation, proof-of-concept modeling, validation, deployment, and monitoring.Work in SQL, dbt, and Snowflake to design, test, and deliver production-ready data pipelines and model outputs.

Build models using Python and deploy them in cloud environments, including AWS using Bedrock, SageMaker, and Lambda functions.

Collaborate closely with Product and Engineering partners on cross-functional, remote, distributed teams in an Agile environment

Continually evaluate and improve model performance in production.

Requirements:

3+ years in Data Science on a Product team or related role (experience in an Agile environment preferred).

Proven experience with SQL and Python; experience with dbt and Snowflake strongly preferred.

Ability to translate between experimentation and production, balancing speed and rigor.

Hands-on experience deploying ML models to production environments (AWS, containerized services, APIs).

Familiarity with CI/CD practices and testing frameworks or a willingness to learn.

Excellent written communication skills.

Strong sense of ownership and accountability.

Nice to Have Experience with AWS Bedrock or other LLM providers

Experience with data governance and monitoring practices.

Experience working on remote and/or distributed teams.

AI ethics