Associate Data Scientist

HCA Healthcare•Nashville, TN

22h

About The Position

The Associate Data Scientist will work on HCA Healthcare’s Digital Transformation and Innovation (DT&I) team, which integrates digital and AI technologies into care to improve clinical outcomes, reduce manual workload, and expand care teams’ reach. The role delivers data science products from incubation through deployment and monitoring, including understanding business needs, analyzing data, engineering features, building and validating models, deploying solutions to enterprise production platforms, and monitoring model performance and reliability. The position requires hands-on work delivering production-grade data science products and applying best practices, frameworks, tooling, and documentation. The work may involve predictive analytics, classification, image recognition, natural language processing, anomaly detection, machine learning, exploratory data analysis, feature engineering, optimization, statistics, and applying AI/ML to business problems. The role collaborates with stakeholders, data scientists, data engineers, and product managers. Typical weekly hours may vary depending on workload and project deliverables.

Requirements

Expert experience in SQL and Python.
Experience with Generative AI, large language models (LLMs), and LLM engineering.
Experience with structured and unstructured data, such as tabular data, text, images, and video.
Experience with SQL relational and non-relational databases.
Experience with data processing and ETL tools, such as Apache Spark.
Experience with data visualization and data monitoring tools.
Experience with modern software engineering practices, such as automated testing, continuous integration, and continuous development.
Experience with Docker.
Experience with cloud deployments in GCP or another cloud platform.
Experience with Agile development methods and tools, such as Azure DevOps.
Excellent communication and collaboration skills, including the ability to work effectively across multiple teams and stakeholders.
Ability to communicate a story using data and insights that drives action and change.
For Associate level: 0+ years of professional (paid) experience in data science and machine learning, and 1+ years of overall experience in these areas.

Nice To Haves

Bachelor’s degree preferred.
Master’s or PhD degree preferred.

Responsibilities

Design and implement incoming data for feature engineering and machine learning.
Create predictive features using healthcare domain knowledge, statistics, and data science.
Extract and select features using methods such as cluster analysis, text analytics, and principal components analysis, while preserving important relationships and information and supporting model performance and scalability.
Conduct exploratory data analysis to identify patterns, trends, and relationships, and align features with appropriate machine learning methods.
Apply statistical and machine learning techniques to develop, tune, and optimize predictive models for use-case requirements.
Deploy code using best practices.
Document and present data science strategies, insights, and solutions.
Build and maintain pipelines, code, and processes to monitor enterprise data science products.
Ensure data and output quality and integrity throughout the data science process.
Collaborate with stakeholders, data scientists, data engineers, and product managers to build and deliver data products.
Perform other duties as assigned.
Adhere to the Code of Conduct philosophy and Mission and Value Statement.