We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms.
We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one's overall well-being.
We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare.
About the Role
We’re shaping the future of mental health care with AI-enabled experiences that enhance, not replace, the human connection at the core of therapy. Our north star is clinically-grounded and responsible AI designed to bring greater transparency, personalization, and continuous support across the therapy journey. Our work transforms therapy into an experience that’s more connected and accessible. As we expand our portfolio of AI experiences, we’re scaling our team to drive innovation and set a new standard for mental health care.
We're hiring our first AI Data Scientist! At Rula, you will get to work with unique, proprietary language-based clinical data to identify key insights and build tailored experiences for patients and providers. This person will be a strategic thought partner to Product Management, Engineering and Finance leadership. The Data Scientist will develop insights, provide operational support, and establish data foundations across multiple AI domains, including data labeling, synthetic data generation, evaluation writing and model training.
This is a senior IC role, requiring a skilled Data Scientist to work both at the big picture and granular levels, ensuring all decisions are data driven, and developing innovative approaches to assess progress and performance of our initiatives.
Required Qualifications
A Bachelor’s (or higher) degree in Statistics, Mathematics, Computer Science, Data Science, or related technical field with strong quantitative foundation
7+ years of product data science experience; with focus to natural language processing (NLP) on large, unstructured data sets
Advanced technical proficiency with modern data stacks (i.e. dbt, Airflow, etc.) and data visualization tools (i.e. Looker, Tableau, Hex, etc.)
Deep understanding of product analytics and metrics, with experience translating them into actionable insights for business partners
Expertise with data modeling and machine learning techniques
Strong experience working directly with A/B testing and statistical analysis
Preferred Qualifications
While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement.
Experience in product analytics role in the digital space
A proven ability to connect analytics insights to business strategy, influencing decisions that drive revenue and growth
Proficiency with Python/R for analytics/scripting
Expertise with large language models (LLM) and labeling
Experience in data science working with clinical data
We're serious about your well-being! As part of our team, full-time employees receive:
100% remote work environment (US-based only): Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments
Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States
Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA
401(k) plan access: Start saving for your future
Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees)
Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering
Employee Assistance Program (EAP): Support for your mental and physical health
New hire home office stipend: Set up your workspace for success
Quarterly department stipend: Fund team-building activities or in-person gatherings
Wellness events and lunch & learns: Explore a variety of engaging topics
Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all
Our team
We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone. We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.
Compensation Range: $190.8K - $213.3K
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