About the Role

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.

What you'll do

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. 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 Functions

• Deploy models and services to continuously improve client & provider experiences on the platform
• Lead algorithm and architecture design decisions for new and ongoing ML initiatives
• Prototype new ML services - including potentially reproducing services/models from published pseudocode - encompassing identification of source data, creation of ML pipelines, and deployment to our platform
• Conduct code reviews and guidance on best practices
• Write, update, and deliver documentation on ML services and infrastructure
• Analyze existing data to identify areas of improvement or new ML initiatives
• Collaborate with engineering teams to integrate ML based functionality
• Design and deploy A/B tests and Multi-armed bandit experiments to optimize services and deliver reports on findings to stakeholders

Key Technologies:

• Python: Pytorch, Pyspark
• REST API services
• Kubernetes and Docker
• SQL (PostgreSQL and Snowflake)
• NoSQL (DynamoDB, Elasticsearch)

• AWS Services: Sagemaker, Athena, Glue, Feature Store
• Git/Gitlab
• LaunchDarkly

What does success look like?

• Design and implement ML data products and systems that directly impact clinicians and clients across the mental healthcare journey
• Independently identify and communicate new opportunities to apply data science to improve clinician/client workflows and healthcare quality
• Deliver production-ready services and demonstrate leadership in problem-solving technical challenges
• Partner cross-functionally with a curious, solution-oriented approach to drive alignment with the applied science and data engineering org

Who You Are

• Ph.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 products
• Prior experience at early- to mid-stage growth companies is preferred
• Experience in the health-tech and/or mental health space is a strong bonus
• Strong statistics and experimental design background
• Proficiency with Python programming language
• Expertise in recommender systems utilizing multiple underlying technologies such as reinforcement learning and collaborative filtering
• Predictive modeling and expertise with multiple optimization frameworks such as gradient descent, particle swarm optimization, simulated annealing, quadratic programming, and Bayesian optimization
• Experience with generative models and artificial intelligence

Our Benefits

The anticipated salary range for this role is $180,000 - $200,000. Final compensation will be determined based on a variety of factors, including relevant experience, skills, education, and past performance. In addition to base salary, this position may also be eligible for equity.

As leaders in redesigning behavioral health, we walk the walk with our employees' benefits. We want the experience of working at SonderMind to accelerate people's careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their lives and work.

Our benefits include:

• A generous PTO policy, with a minimum of three weeks off per year
• A holiday schedule that follows standard U.S. holidays
• Free therapy coverage benefits to ensure employees have access to the care they need (must be enrolled in a qualifying medical plan to participate)
• Competitive Medical, Dental, and Vision coverage, with plans to meet every need - including HSA (with $1,100 company contribution) and FSA options
• Employer-paid short-term disability, long-term disability, life & AD&D, plus coverage of the salary difference for up to seven weeks of short-term disability leave (after the required waiting period)
• Eight weeks of paid Parental Leave; if the parent also qualifies for STD, this benefit is in addition, allowing for 8-16 weeks of paid leave
• 401(k) retirement plan with 100% match on up to 4% of base salary, immediately vested
• Join teammates from across the country at our annual company gathering
• Company shutdown between Christmas and New Year's
• Supplemental life insurance, pet insurance, commuter benefits, and more

Application Deadline

This position will be an ongoing recruitment process and will be open until filled.