Data Scientist - Remote

Overview

Homethrive, Inc. is a technology-enabled healthcare services firm revolutionizing family caregiving and aging in place. Homethrive provides a unique integration of high touch and high tech to help family caregivers support their loved ones, improve the ability of older adults to remain at home, and reduces the total cost of care.

We are led by seasoned industry veterans with prior experience building and running multi-billion-dollar businesses and very well-funded by leading healthcare venture capital firms including 7Wire Ventures, Human Capital and Pitango. We operate with urgency, collaboration, and a continuous improvement mindset—always in service to our members.

General Overview

Homethrive is growing, and we are looking for a visionary Data Scientist to help build the next generation of our AI-powered products. This role is for a hands-on expert who will be responsible for designing, building, and integrating our core knowledge systems to drive more proactive and personalized support for our members. We are seeking someone with deep experience in building sophisticated AI systems from the ground up, with a special focus on Knowledge Graphs and Retrieval Augmented Generation (RAG) systems to serve as the intelligent foundation for our AI product.

The technology we currently utilize includes:

• Python
• Snowflake
• AWS RDS (MySQL), MongoDB Atlas
• Salesforce CRM, Tableau
• Cloud hosting on AWS using a mixture of Lambda, Glue, DynamoDB, and S3

In Short

• Design and implement graph data models and schemas to represent complex relationships.
• Build and maintain data ingestion pipelines for the knowledge graph.
• Develop and deploy end-to-end Graph RAG systems.
• Collaborate with teams to integrate the Graph RAG system into AI products.
• Acquire, clean, and transform data for ML models and knowledge graph.
• Perform exploratory data analysis to identify patterns.
• Design and implement statistical and machine learning models.
• Create data visualizations and dashboards.
• Present analytical results to various audiences.
• Self-directed and results-oriented in a high-pressure environment.

Requirements

• BS/MS in Computer Science, Data Science, or related discipline.
• 3+ years of related professional experience required.
• Proficiency in Python and SQL.
• Experience designing and deploying RAG systems.
• Expertise in graph database technologies.
• Strong background in NLP and vector databases.
• Experience with Large Language Models and NLP libraries.
• Expertise in machine learning algorithms and data mining techniques.
• Experience with data visualization tools.
• Familiarity with cloud computing platforms and big data technologies.

Benefits

• Equal employment opportunities for all employees.