Remote Healthcare Data Scientist: ML & NLP

7Seventy Recruiting; United States; A distancia; USD 120.000 - 140.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare insurance

401(k) with employer matching

Generous paid time off

Remote work within United States

Descripción de la vacante

7Seventy Recruiting is seeking a Data Scientist focused on developing, deploying ML models for healthcare analytics and AI-powered applications. You will work on classification and information extraction, analyze complex datasets, and collaborate with engineering to deploy models into production.

The role requires strong Python and SQL skills, practical ML experience, and exposure to NLP, LLMs, and ML pipelines to improve analytical capabilities.

Formación

• Bachelor's degree with 3–5 years of experience or Master's with 1–3 years.
• Proven ML experience applying AI technologies to practical problems.
• Experience using emerging AI technologies to address technical challenges.

Responsabilidades

• Design and build ML models for classification and information extraction.
• Analyze healthcare datasets to create features and improve models.
• Improve model accuracy and performance.
• Collaborate with engineering to deploy models to production.
• Develop ML pipelines supporting production workflows.
• Evaluate emerging ML and NLP technologies for integration.
• Explore LLM solutions and their integration into AI models.

Conocimientos

Python

SQL

ML development

NLP

LLMs

MLOps

ETL processing

AWS

Healthcare data

Educación

Bachelor's degree with 3–5 years of experience

Master's degree with 1–3 years of experience

Herramientas

Python libraries for ML

SQL analytics

Descripción del empleo

7Seventy Recruiting is seeking a Data Scientist focused on developing, deploying ML models for healthcare analytics and AI-powered applications. You will work on classification and information extraction, analyze complex datasets, and collaborate with engineering to deploy models into production.

The role requires strong Python and SQL skills, practical ML experience, and exposure to NLP, LLMs, and ML pipelines to improve analytical capabilities.