Applied Scientist: ML & Experimentation for Decisioning

Femtech Insider Ltd.; Austin (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading digital health company in Austin is seeking an Applied Scientist to build and measure machine learning systems. The role involves training models, defining performance metrics, and designing A/B tests. The ideal candidate has over 5 years in applied science or data science, strong Python and SQL skills, and experience in a healthcare environment. Join us to make impactful decisions in real-world applications while working cross-functionally to optimize healthcare solutions.

Qualifications

• 5+ years of experience in Applied Science or similar roles.
• Hands-on experience with machine learning model training and evaluation.
• Strong skills in designing and analyzing A/B tests.

Responsibilities

• Build and improve ML models used in engagement and operational workflows.
• Develop models for various predictive use cases.
• Define and monitor model performance and business impact.

Skills

Applied Science

Machine Learning

Data Science

A/B Testing

Python

SQL

Cross-functional communication

Tools

Snowflake

dbt

Airflow

GitLab

Job description

A leading digital health company in Austin is seeking an Applied Scientist to build and measure machine learning systems. The role involves training models, defining performance metrics, and designing A/B tests. The ideal candidate has over 5 years in applied science or data science, strong Python and SQL skills, and experience in a healthcare environment. Join us to make impactful decisions in real-world applications while working cross-functionally to optimize healthcare solutions.