Senior Data Scientist - Search and Personalization
CVS HealthFull Time
Senior (5 to 8 years)
Candidates must have 6+ years of experience in applied ML roles, with at least 1 year focused on ranking, relevance, search, or recommender systems. Fluency in Python and experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or CatBoost are essential. Proven experience in taking ML models from research to production at scale, and comfort with designing and running A/B experiments, including selecting appropriate offline and online metrics, are required. A combination of product intuition and technical depth is also necessary.
The Staff Machine Learning Engineer will lead the development of Headway’s ranking and relevance models, designing and building systems for patient-provider matching using search, recommendation, and personalization. This role involves setting technical direction, building the initial stack, and mentoring future ML teammates. Responsibilities include designing and scaling ML models for patient discovery and connection, improving matching accuracy through personalization using patient signals, provider attributes, and outcomes data, and establishing ML infrastructure for experimentation, training, deployment, and monitoring. The engineer will also provide technical leadership, guide junior team members, and partner with product, engineering, and data science teams to define metrics, design A/B experiments, and influence product strategy.
Connects patients with affordable mental health services
Headway simplifies the process of finding and paying for mental health therapy. It operates in the mental health market, addressing the challenge that many Americans face in accessing care due to high costs and complicated insurance processes. For individuals, Headway provides a platform where they can easily search for therapists and psychiatrists who accept their insurance, allowing them to find the right mental health care without incurring out-of-pocket expenses. For mental health care providers, Headway reduces the administrative workload associated with accepting insurance, enabling them to focus more on patient care. The company connects patients with providers while ensuring effective use of insurance, and it generates revenue by partnering with health plans and providers. Headway's goal is to create a more accessible and affordable mental healthcare system.