<span>Staff Data Scientist</span>

$144,000 - $180,000/Yr

SonderMind Careers - Denver, CO

Full-time - Mid Level

Denver, CO

About the position

As a Staff Data Scientist at SonderMind, you will lead technical initiatives within the technology organization, focusing on developing data-driven ML/AI services to enhance mental healthcare. Your role will involve collaborating with engineering teams, deploying production ML/AI services, and building generative AI agents to improve client and provider experiences. You will also be responsible for algorithm design and ensuring the successful implementation of data products that directly impact mental healthcare outcomes.

Responsibilities

• Lead technical initiatives at the intersection of applied science and product engineering.
• Identify new opportunities for data-driven product solutions and drive end-to-end execution from ideation through production.
• Deploy, document, and test production ML/AI services to continuously improve client & provider experiences.
• Collaborate with engineering teams to integrate ML/AI based functionality.
• Build, test, and monitor generative AI agents, including 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 provide guidance on best practices.

Requirements

• 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/AI 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.
• Proficiency with generative AI models/frameworks, language embeddings, fine tuning and/or transfer learning.
• Predictive modeling and expertise with multiple optimization frameworks such as gradient descent, particle swarm optimization, simulated annealing, quadratic programming, and Bayesian optimization.

Nice-to-haves

• Experience with AWS Services such as Sagemaker, Lambda, Athena, Glue, Feature Store.
• Familiarity with REST API services, Kubernetes, and Docker.
• Experience with vector databases like PGvector and pinecone.

Benefits

• A commitment to fostering flexible hybrid work.
• A generous PTO policy with a minimum of three weeks off per year.
• Free therapy coverage benefits for employees enrolled in medical plans.
• Competitive Medical, Dental, and Vision coverage with HSA and FSA options.
• Employer-paid short-term, long-term disability, life & AD&D insurance.
• Eight weeks of paid Parental Leave.
• 401K retirement plan with 100% matching on up to 4% of base salary.
• Travel to Denver once a year for annual Shift gathering.
• Fourteen company holidays.
• Company Shutdown between Christmas and New Years.
• Supplemental life insurance, pet insurance coverage, commuter benefits, and more!