Senior Data Scientist

Company Overview Homethrive was born from personal experience. Our founders grappled with the overwhelming challenges of caregiving for family members while balancing their work lives. The journey was fraught with confusion, a myriad of unanswered questions, and countless hours delving into endless online searches. After taking numerous days off and spending extended hours on the phone, the answers remained elusive. They recognized the need for a streamlined, more efficient solution. Enter Homethrive. Our mission is to revolutionize family caregiving by delivering superior outcomes for caregivers, their loved ones, and health plans alike. At the heart of our service is the Homethrive personal caregiving coach and assistant — an all-in-one interactive tool that offers the expertise, recommendations, and support our members deserve. Our Mission At Homethrive, we are revolutionizing family caregiving to achieve better outcomes for caregivers, their loved ones, and their employers. Our innovative platform offers a personal caregiving coach and assistant that provides comprehensive knowledge, tailored recommendations, and ongoing support, all within a single interactive tool. Leadership and Growth Our leadership team comprises seasoned industry veterans with a proven track record of building multi-billion dollar enterprises. Backed by prominent healthcare venture capital funds, Homethrive is well-positioned for significant growth. As we continue to expand, we are seeking talented individuals to join our world-class team and contribute to our mission of transforming family caregiving. Location Homethrive is a remote-first culture, with headquarters in Chicago, IL. Job Overview We are seeking a

Senior Data Science Engineer

to join our innovative health tech startup. This individual will play a critical role in developing and deploying cutting-edge AI solutions using

Large Models (LLMs) ,

vector databases ,

Retrieval-Augmented (RAG) , and robust

productionization pipelines . The ideal candidate has a strong background in data science, machine learning engineering, and AI-driven chatbot systems with a focus on

guardrails and safety mechanisms . This role will directly impact how we leverage AI to innovate caregiving support and ensure compliance with strict healthcare regulations. Key Responsibilities AI & LLM Development :

Build and fine-tune large-scale

LLM-based models

tailored to healthcare use cases. Develop efficient

RAG pipelines

to ensure real-time, accurate retrieval of domain-specific data.

Vector Database Management :

Architect and optimize

vector search systems

to manage embeddings and support intelligent queries. Integrate vector databases like Pinecone, Weaviate, or FAISS with healthcare datasets.

AI Productionization :

Design scalable solutions for deploying AI systems in production environments. Monitor and enhance model performance, latency, and robustness post-deployment.

Chatbot Development & Guardrails :

Develop AI-powered

chatbots

to improve patient and provider interactions. Implement

guardrails

(e.g., ethical AI, hallucination mitigation, compliance protocols) to ensure safety and reliability.

Data Engineering & Compliance :

Work closely with data engineers to preprocess, clean, and secure sensitive healthcare data. Ensure AI solutions adhere to healthcare standards like HIPAA and SOC2.

Collaboration :

Collaborate with product, engineering, and clinical teams to align AI capabilities with business objectives. Actively participate in team discussions to identify opportunities for AI innovation.

Requirements: Required Qualifications Educational Background :

Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, or related field. PhD is a plus.

Technical Skills :

Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch). Hands-on experience with LLMs like GPT, BERT, or similar. Expertise in vector database technologies (e.g., Pinecone, Milvus, or Weaviate). Familiarity with RAG workflows and conversational AI development.

Experience :

7+ years in data science, machine learning, or AI engineering. Demonstrated success in deploying AI models in production.

Strong knowledge of designing and implementing

guardrails for AI . Knowledge of scalable infrastructure (e.g., AWS Lambda, Docker, ECS). Experience with natural processing in clinical or healthcare domains. Strong communication skills to explain complex AI concepts to non-technical stakeholders. EEO Homethrive is an equal opportunity employer. We celebrate and are committed to creating an inclusive environment for all employees. Homethrive provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship status, disability, age, marital status, registered domestic partner status, or any other status protected by applicable federal, state, and local laws.

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