Remote job
Data Science Extern
Job details
About this role
Role overview
Use data science and machine learning to improve a digital mental health product and inform business decisions. The role combines analysis of large, complex datasets with language model development, product collaboration, and work to bring models into production.
Responsibilities
- Fine-tune and retrain language models to meet product needs. - Partner with product and engineering teams to design machine learning models and algorithms. - Analyze text and other large datasets to identify useful patterns and inform product, marketing, and business decisions. - Develop predictive and causal models, and translate analytical findings into practical recommendations. - Write production-ready code and work with DevOps and ML operations colleagues to integrate models into production systems. - Write and optimize SQL queries, and communicate technical findings clearly to nontechnical partners.
Requirements
- Currently enrolled in or recently graduated from a PhD program in a quantitative field such as computer science, statistics, mathematics, operations research, or engineering. - Coursework in natural language processing and large language models. - Strong knowledge of neural networks, deep learning, and generative AI; familiarity with reinforcement learning. - Experience building predictive and causal inference models and analyzing large, complex datasets. - Experience with PyTorch or TensorFlow. - Strong communication skills, including the ability to explain complex technical ideas to nontechnical audiences.
Benefits and work setup
- Remote work across time zones, with work aligned to Pacific Time. Occasional travel for in-person team gatherings is expected, with travel costs covered. - The listing states an hourly base range of $40–$60; it notes that total compensation varies by factors such as location, education, and experience. - Benefits include health, dental, and vision coverage, a retirement plan with employer matching, wellness resources, and support for work equipment and software.