Director of Applied Science and Data Engineering, SonderMind
$200-250k
In-person and online therapy platform
Job no longer available
In-person and online therapy platform
1001+ employees
Job no longer available
$200-250k
1001+ employees
Company mission
To improve mental health care – through easier access, use of individualized care, and life-changing outcomes.
Role
Who you are
- Ph.D. or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
- 8 - 10+ years of experience in applied science, AI/ML development, or data science leadership roles
- Proven success in both large enterprise environments and startup ecosystems
- Extensive experience in working with large-scale data sets and deploying AI/ML solutions in production
- Experience with Generative AI models, LLMs, and NLP technologies
- Healthcare or mental health industry experience is preferred but not mandatory
- Proficient in Python, TensorFlow, PyTorch, or similar frameworks. Strong background in data engineering, feature engineering, and ML model deployment
- Demonstrated ability to lead, inspire, and scale diverse teams, with a strong focus on mentorship and talent development
- Exceptional at translating complex technical concepts into clear, actionable insights for stakeholders across the organization
What the job involves
- We are seeking a visionary Director, Applied Science and Data Engineering to lead our AI, Machine Learning (ML), Generative AI initiatives, and Data Engineering
- This strategic leadership role requires deep expertise in advanced data science methodologies, large-scale data management, and AI-driven innovation
- The ideal candidate will have a proven track record of leading teams in large enterprises and agile startups, preferably with experience in the healthcare and/or the mental health domain
- Leadership & Strategy: Develop and execute the company’s AI/ML and data science roadmap, aligning with business goals and driving measurable outcomes
- AI/ML Innovation: Oversee the design, development, and deployment of cutting-edge AI models, including Generative AI solutions, leveraging extensive data sets for impactful insights
- Data Strategy: Manage large and complex data ecosystems, ensuring high data quality, governance, and scalability to support AI/ML initiatives
- Enterprise Data Management: Oversee the Enterprise Data team to design, build, and manage scalable data infrastructure, data pipelines, and data integration frameworks that support AI/ML and business intelligence needs
- Experience Personalization: Develop and implement AI-driven personalization strategies to enhance user experiences and improve engagement
- Natural Language Processing (NLP): Lead the development and integration of NLP technologies to extract insights, automate processes, and enhance customer interactions
- Team Building & Development: Build, mentor, and inspire high-performing data science teams. Foster a culture of innovation, collaboration, and continuous learning
- Partnerships & Collaboration: Collaborate cross-functionally with engineering, product, and business teams to integrate AI solutions into real-world applications
- Healthcare/Mental Health Focus: Leverage experience or understanding of healthcare or mental health systems, clinical data, and compliance frameworks to drive AI solutions that improve outcomes and efficiency
- Research & Advancement: Stay ahead of industry trends, ensuring the adoption of emerging AI technologies and best practices to maintain a competitive edge
- Operational Excellence: Establish KPIs to measure the success of AI/ML initiatives, driving accountability and impactful results
- Leading key decisions on whether to build proprietary models or leverage large language models (LLMs), with clear frameworks that balance innovation, performance, and compliance
- Delivering AI-powered personalization that adjusts care recommendations based on client acuity, driving better engagement and outcomes
- Defining and implementing data-driven outcome measurement frameworks, enabling us to track and improve the effectiveness of care at scale
- Partnering cross-functionally with clinical, product, and business leaders to ensure applied science work solves high-priority, real-world problems
- Launching AI initiatives with measurable business impact—such as reducing provider administrative burden, improving client-provider matching, or accelerating care onboarding
- Establishing technical excellence by building reliable, secure, and scalable data and AI systems that meet the needs of a growing healthcare organization
- Driving adoption and trust in AI tools among clients and providers through intuitive integration, strong performance, and transparent communication
Application process
- This position will be an ongoing recruitment process and will be open until filled
Our take
Demand for mental health services in the U.S. is soaring, yet therapeutic services are generally expensive, uniform, and hard to access for the majority of people. This is mainly due to the fact that most mental health practitioners don't accept insurance or work within a healthcare infrastructure.
SonderMind tackles the shortage of accessible mental health services by providing a digital network that matches the specific needs of patients with mental health specialists. What's more, the patient’s insurance coverage network is considered when determining a match, allowing users to find personalized therapeutic services that fit within their budget.
In addition to its therapy recommendation service, Sondermind also provides tools for therapy booking, organization, and billing. Ultimately, the startup has taken an interesting stance within the therapy landscape by focusing on providing personalized and easy-to-use booking services that are flexible within different budgets and insurance plans.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
10% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jul 2021
$150m
SERIES C
Apr 2020
$27m
SERIES B
Total funding: $183.2m
Company benefits
- Flexible work: Most SonderMind positions are fully-remote and can work from most states. We also have a Denver-based headquarters for those craving in-office options.
- Whole-person wellness: Access SonderMind care or get up to 100% coverage on mental health support. Plus, competitive medical, dental, and vision coverage, including and HSA plans with a $1,100 match and FSAs.
- Required vacation time: Yes, you read that right. Our flexible PTO requires each employee to take a minimum of 3 weeks off each year, plus additional paid company holidays.
- Retirement and more: All employees receive a 401K retirement plan with a 100% company match on up to 4% of their base salary. Plus, discounts on pet insurance plans, and more.
- Plan for the unexpected: With employer-paid life insurance, short-and-long-term disability, and AD&D, we also cover the difference in salary for up to 8 weeks of short-term disability leave.
- Family leave: We offer eight weeks of paid parental leave to any new parent. And, if the parent also qualifies for short-term disability (which can be up to 8 weeks), this benefit is additional.
Company HQ
Capitol Hill, Denver, CO
Leadership
Mark Frank
(Co-Founder & CEO)Co-founded SafeImageMD in 2012. Former Chairman on the Board of Directors for AfterOurs Urgent Care prior to co-founding SonderMind.
Shouvick Mukherjee
(Co-Founder & CTO)They have extensive experience in engineering and have held many VP roles in various companies, including Yahoo and Walmart eCommerce.
Salary benchmarks
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