Data Scientist – ON-SITE

ABOUT Healthcare
  • Post Date: January 14, 2025
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Job Overview

logoSUMMARY:ABOUT Healthcare is seeking a skilled and innovative Data Scientist to help expand our predictive analytics capabilities and advance our mission to revolutionize hospital operations. This role will work at the intersection of AI/ML, healthcare, and operations to develop and scale machine learning models that deliver actionable insights to hospitals.
ESSENTIAL FUNCTIONS:This class specification lists the major duties and requirements of the job and is not all-inclusive. Incumbent(s) may be expected to perform job-related duties other than those contained in this document and may be required to have specific job-related knowledge and skills.
Predictive Analytics Development: Build and refine machine learning models for hourly discharge forecasting, aggregate hospital admission/discharge predictions, and patient-level progress tracking.Data Exploration: Analyze complex healthcare datasets to identify trends, challenges, and actionable opportunities.Model Deployment: Collaborate with engineers to deploy AI/ML solutions into production, ensuring reliability and scalability.Collaboration: Partner with product managers, operations teams, and customers to define and implement data-driven features and metrics.Feature Engineering: Work with AWS infrastructure (S3, Glue, Athena, Timestream, Bedrock, Nova, SageMaker) to standardize data pipelines and enrich machine learning models.Continuous Improvement: Optimize model accuracy and efficiency through testing, monitoring, and iteration.Documentation and Communication: Present technical findings and recommendations to stakeholders in an easily understandable way.LLMs: Demonstrate experience and depth in building products through applying LLMs or other AI domains like NLP, ML or deep learning.Full Stack: Capable as a full-stack engineer, seeing LLM implementations from concept to production.Perform other duties as assigned.

QUALIFICATIONS:To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
Need to Have:Bachelor’s in data science, Computer Science, Statistics, or related field (or equivalent experience).1+ years of experience developing and deploying machine learning models in production.Proficiency in Python (or R), SQL, and common ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).Experience working with cloud technologies, particularly AWS (e.g., S3, Glue, Timestream, Bedrock, Nova, sageMaker).Strong analytical skills and ability to interpret complex datasets.Knowledge of ETL processes, feature engineering, and real-time forecasting methods.Excellent communication skills with the ability to present technical concepts to non-technical stakeholders.
Nice to Have:Experience in healthcare data analytics or hospital operations.Familiarity with EHR/EMR data or healthcare interoperability standards.Knowledge of time-series modeling and ensemble methods.Exposure to data visualization tools (e.g., Tableau, Power BI).Understanding of Agile methodologies and collaborative software development.
Required Knowledge and SkillsRequired Knowledge:Correct business English, including spelling, grammar and punctuation.Medical TerminologyHealth system operating and working modelsBusiness planning and development
Required Skills:Using initiative and independent judgment within established department guidelines.Contributing effectively to the accomplishment of team or work unit goals, objectives and activities.Establishing and maintaining effective working relationships with a variety of individuals.

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