Job Details

Overview

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format.

Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care.

By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavant brings a diversity of professional, educational and life experiences to realize our bold vision for healthcare.

Responsibilities

• 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 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.).

Qualifications

• 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.

Compensation

$136,000—$170,000 USD

EEO Statement

We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.