GenAI Data Scientist, Digital Products

USP; United States; Hybrid; USD 12,000 - 25,000; Full time

Job summary

USP's Digital Product Engineering team seeks a Data Scientist with expertise in AI/ML, GenAI, and RAG to drive data-driven initiatives in healthcare data contexts. You will build intelligent systems, perform exploratory analysis, and collaborate with data engineers and product teams to deploy scalable models.

Strong Python, SQL, and cloud skills are required, with a focus on responsible and interpretable AI.

Qualifications

• 1-3 years of data science experience with AI/ML, DL, and RL.

Responsibilities

• Design, develop, and deploy AI/ML models with Generative AI applications.
• Collaborate with data engineers to access, clean, and prepare large-scale datasets for modeling and experimentation.
• Conduct exploratory data analysis (EDA), hypothesis testing, and feature engineering to support model development.
• Evaluate model performance using appropriate metrics and iterate to improve accuracy, robustness, and fairness.
• Translate complex analytical findings into clear, actionable insights for stakeholders across product, engineering, and business teams.

Skills

AI

Machine Learning

Deep Learning

Reinforcement Learning

Generative AI

LLMs

RAG

prompt engineering

vector databases

Python

PySpark

scikit-learn

TensorFlow

PyTorch

Hugging Face Transformers

SQL

data visualization

Cloud platforms

Education

Bachelor’s degree in relevant field

Tools

FAISS

Pinecone

MLflow

Kubeflow

Azure ML

Job description

USP's Digital Product Engineering team seeks a Data Scientist with expertise in AI/ML, GenAI, and RAG to drive data-driven initiatives in healthcare data contexts. You will build intelligent systems, perform exploratory analysis, and collaborate with data engineers and product teams to deploy scalable models.

Strong Python, SQL, and cloud skills are required, with a focus on responsible and interpretable AI.