Senior Staff Data Scientist (Denver)

About SonderMindAt SonderMind, we believe everyone deserves one personalized, connected, and effective mental health destination to take care of their mental health and well-being at any stage of life. SonderMind care encompasses everything from therapy and medication management to meditation and mindfulness exercises. Our clinicians leverage our digital tools and research to deliver increasingly high-quality care and to develop thriving practices. Combining technology and human connection, SonderMind drives better outcomes through our comprehensive approach. Learn more about SonderMind at sondermind.com or download the mobile app, available on iOS and Android. 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 and Linkedin Additionally, we expect all team members to effectively leverage modern AI technologies as part of their everyday workflow, and to continuously adapt as new tools emerge. Familiarity with job-relevant AI platforms such as Gemini, ChatGPT, Claude, GitHub Copilot or other industry-standard AI productivity tools is expected and considered essential for success at this company. About the RoleAt 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.What you’ll doAs 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. 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.Essential FunctionsDeploy models and services to continuously improve client & provider experiences on the platformLead algorithm and architecture design decisions for new and ongoing ML initiativesPrototype new ML services - including potentially reproducing services/models from published pseudocode - encompassing identification of source data, creation of ML pipelines, and deployment to our platformConduct code reviews and guidance on best practicesWrite, update, and deliver documentation on ML services and infrastructureAnalyze existing data to identify areas of improvement or new ML initiativesCollaborate with engineering teams to integrate ML based functionalityDesign and deploy A/B tests and Multi-armed bandit experiments to optimize services and deliver reports on findings to stakeholders Key Technologies:Python: Pytorch, PysparkREST API servicesKubernetes and DockerSQL (PostgreSQL and Snowflake)NoSQL (DynamoDB, Elasticsearch)AWS Services: Sagemaker, Athena, Glue, Feature StoreGit/GitlabLaunchDarklyWhat does success look like? Design and implement ML data products and systems that directly impact clinicians and clients across the mental healthcare journeyIndependently identify and communicate new opportunities to apply data science to improve clinician/client workflows and healthcare qualityDeliver production-ready services and demonstrate leadership in problem-solving technical challengesPartner cross-functionally with a curious, solution-oriented approach to drive alignment with the applied science and data engineering orgWho You ArePh.D. (preferred) or M.S. in a quantitative science such as computer science, engineering, data science, applied mathematics, statistics, etc.5+ years of preparing and deploying ML data productsPrior experience at early- to mid-stage growth companies is preferredExperience in the health-tech and/or mental health space is a strong bonusStrong statistics and experimental design backgroundProficiency with Python programming languageExpertise in recommender systems utilizing multiple underlying technologies such as reinforcement learning and collaborative filteringPredictive modeling and expertise with multiple optimization framew