Senior Data Scientist, Aura

• PhD in Computer Science, Health Sciences, or Statistical Sciences preferred, Master’s degree required
• 5+ years of experience working with data at scale, performing cleaning, feature extraction and model training, testing and validation. Demonstrable knowledge of generative AI, prompt engineering and output validation / sanitization techniques
• Experience working directly with product teams, especially in clinical or youth-focused healthcare environments
• Foundational expertise in biostatistics, including study design, hypothesis testing, and interpreting clinical data
• Demonstrated ability to analyze and validate complex datasets with scientific rigor
• Proven experience building research pipelines that prioritize transparency and reproducibility

Desirable

• We are looking for a Senior Data Scientist to help us accomplish our mission to become the premier digital safety organization of the world.
• You will play a pivotal role in developing, validating, and optimizing advanced ML and LLM models to support marketing, product, and digital safety.
• You will bridge the gap between complex business challenges in digital security, data, and cutting-edge data science and machine learning capabilities.
• This role demands a deep understanding of both machine learning and business principles, coupled with the ability to guide cross-functional teams (data scientists, data engineers, product managers) in delivering impactful and privacy-preserving AI products, data, and features.
• You will play a key role in shaping Aura's data and AI strategy, ensuring our solutions are innovative, scalable, stable, secure, and deliver tangible value to our customers
• Develop and validate impactful AI for well-being and security, ensuring our tools are scientifically sound and clinically relevant. We prioritize scientific integrity and real-world positive outcomes
• Act as a thought leader on our data science team, bridging AI with practical application by working closely with engineering, product, and clinical experts. A core focus is integrating models seamlessly and securely, recognizing the sensitivity of digital protection and mental health
• Serve as the primary analyst for scientific outputs, translating complex data into clear, actionable insights
• Build and refine robust, transparent, and reproducible research pipelines. This ensures consistency and upholds the security and privacy essential when dealing with child and adult mental health information
• Collaborate across teams to design and execute data analyses, answering key questions in clinical and product-related mental health research
• Provide biostatistical expertise and data analysis for peer-reviewed publications, advancing the secure and effective use of technology in mental health