Everly Health

Applied Scientist – ML, Experimentation & Decision Systems

Everly Health

full-time

Posted on:

Location Type: Hybrid

Location: Austin • Texas • United States

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Tech Stack

AirflowPythonSQL

About the role

  • Build and improve ML models used in engagement and operational workflows
  • Develop models for prediction, prioritization, uplift, and related decisioning use cases
  • Define and monitor model performance, business impact, and system health
  • Design and analyze A/B tests and other measurement approaches to evaluate incremental impact
  • Partner with stakeholders to define success metrics and turn findings into decisions
  • Support production rollout and ongoing monitoring with engineering teams
  • Help evaluate AI- and LLM-powered workflows used in production settings

Requirements

  • 5+ years in Applied Science, Data Science, ML, Decision Science, or similar roles
  • - Strong hands-on experience training, evaluating, and improving ML models
  • - Strong experience designing and analyzing A/B tests
  • - Strong Python and SQL skills
  • - Experience measuring model, program, or product performance in production
  • - Ability to work cross-functionally and communicate clearly with stakeholders
  • - PreferredExperience in experimentation platforms, growth or lifecycle modeling, or ML-driven decision systems
  • - Experience with causal inference or uplift modeling
  • - Experience with LLMs, AI agents, or automated workflows in production
  • - Experience in healthcare or regulated environments
  • - Snowflake, Python, dbt, Airflow, model registry systems, GitLab
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningmodel evaluationA/B testingPythonSQLcausal inferenceuplift modelingAILLMsautomated workflows
Soft Skills
cross-functional collaborationclear communicationstakeholder engagement