Company Overview
SonderMind is your mental health home. For nearly a decade, we’ve been delivering high-quality, outcome-focused mental health care, supporting tens of thousands of people across 15 states and DC, both virtually and in person. To date, we’ve facilitated over 3 million sessions, helping people connect with the right care, and the right provider. SonderMind supports a community of mental health care clinicians with the tools, continuing education, technology, marketing and administrative support to be able to deliver quality care and operate thriving practices. With thousands of therapists and psychiatric providers across the country, we’re able to connect people to care in days, and help them find the right care for them. Become a SonderMind clinician by applying at: sondermind.com/join-us. For corporate careers, please visit: sondermind.com/careers.
About the job
Staff Data Scientist
at SonderMind
Denver, CO or Remote
About SonderMind
At SonderMind, we know that therapy works. SonderMind provides accessible, personalized mental healthcare that produces high-quality outcomes for patients. SonderMind’s individualized approach to care starts with using innovative technology to help people not just find a therapist, but find the right, in-network therapist for them, should they choose to use their insurance. From there, SonderMind’s clinicians are committed to delivering best-in-class care to all patients by focusing on high-quality clinical outcomes. To enable our clinicians to thrive, SonderMind defines care expectations while providing tools such as clinical note-taking, secure telehealth capabilities, outcome measurement, messaging, and direct booking.
To follow the latest SonderMind news, get to know our clients, and learn about what it’s like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter.
About the Role
As a Staff Data Scientist at SonderMind you will be a leader in the technology organization (product, engineering and applied science), working on solving a diverse set of problems in the mental healthcare space. From helping clinicians grow and manage their practices, to personalizing self-care and matching appropriate providers with clients who are ready for clinical care, your primary role will be to drive success for all of these scenarios through the development of data-driven ML/AI services. This role will also play a large role building and monitoring generative AI agents in production. As an integral part of the product and engineering team our data scientists deploy data products with immediate positive impact to our providers and clients.
What you will do
- Lead technical initiatives at the intersection of applied science and product engineering, identifying new opportunities for data-driven product solutions and driving end-to-end execution from ideation through production
- Deploy, document, and test production ML/AI services (models, prototypes, etc.) to continuously improve client & provider experiences on the platform
- Collaborate with engineering teams to integrate ML/AI based functionality
- Build, test, and monitor generative AI agents, inclusive of RAG implementation and context-aware API information retrieval
- Fine-tune language models and navigate open source model embeddings strategies for multiple production use cases
- Lead algorithm and architecture design decisions for new and ongoing ML/AI initiatives
- Conduct code reviews and guidance on best practices
Key Technologies to be used:
- Python
- Pandas
- Numpy
- PyTorch
- Scikit-learn
- Pydantic
- SQL (PostgreSQL and Snowflake)
- NoSQL (DynamoDB, Elasticsearch)
- AWS Services: Sagemaker, Lambda, Athena, Glue, Feature Store
- Sentence transformers and open-source language models (BERT, Ada, LLaMA, etc.)
- REST API services
- Kubernetes and Docker
- Vector Databases (PGvector, pinecone, etc.)
- Git/Gitlab
- LaunchDarkly
How to Apply:
APPLY