Data Scientist, NLP – Language Models

November 7

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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

• Play a key role in the success of our products by developing models for NLP (and other) tasks. • Perform error analysis, data cleaning, and other related tasks to improve models. • 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

• Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience. • 4+ years of experience with data science and machine learning in an industry setting. • 4+ years experience with Python. • Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing. • Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. • Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. • Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity. • Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines. • Initiative and ability to independently explore and research novel topics and concepts as they arise.

🏖️ Benefits

• Equal Employment Opportunity employer • Total rewards strategy for high-growth • Employee rewards for transforming health care