Data Scientist, NLP

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Datavant

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Healthcare Insurance • SaaS • Enterprise

Datavant is a company that provides a platform and network focused on making health data secure, accessible, and usable across the healthcare ecosystem. With a focus on data connectivity and interoperability, Datavant facilitates the movement of healthcare records across a vast network of organizations, including hospitals, clinics, health systems, and data partners. Their suite of products and solutions covers areas such as health data exchange, data transformation, and privacy compliance, serving various clients including health plans, healthcare providers, life sciences, and government organizations. Datavant's mission is to advance human health through improved data exchange and analytics.

201 - 500 employees

Founded 2017

⚕️ Healthcare Insurance

☁️ SaaS

🏢 Enterprise

💰 $40M Series B on 2020-10

📋 Description

• Design and develop models to extract entities, detect intents, and understand document structure • Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs • Evaluate model performance where ground truth is partial, uncertain, or evolving • Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions • Collaborate with your team by making recommendations for the development roadmap of a capability. • Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. • Understand product use-cases and define key performance metrics for models according to business requirements. • Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.)

🎯 Requirements

• 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. • Proficiency with Python • Experience with the latest in language models (transformers, LLMs, etc.) • Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. • Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow • Industry experience shepherding ML/AI projects from ideation to delivery • Demonstrated ability to influence company KPIs with AI • Demonstrated ability to navigate ambiguity

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities