Data Scientist


CAQH recognizes that its most important asset is its growing team of smart, creative, collaborative, forward-thinking and passionate professionals – and that a comprehensive employee benefits package is an important factor for them in choosing where to work. CAQH offers competitive compensation along with an extensive benefits package for all full-time employees, including medical, dental and vision coverage, tuition assistance and a 401k. We offer full-time remote work to all staff from any location and maintain a physical office (with many amenities) in downtown Washington, D.C. 

Who we are:

Named one of the "Best Places to Work" by Modern Healthcare for five consecutive years, CAQH has helped nearly 1,000 health plans, 1.6 million providers, government entities and vendors connect, exchange information and operate more efficiently. CAQH technology-enabled solutions and its Committee on Operating Rules for Information Exchange (CORE) bring the healthcare industry together to make sharing business information more automated, predictable and consistent. CAQH Explorations researches opportunities to reduce the burden of manual processes in healthcare administration.


Data Scientist

CAQH Solutions
Reports To

Director, Data Science

Data is CAQH’s most critical asset and you will change how we understand and employ it. CAQH is seeking an action-oriented Data Scientist for our Data Science team. The Data Scientist will process, analyze, deliver results based on large health care databases – from CAQH, from member plans and from third parties. The successful candidate will have strong experience employing a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have the ability to drive business results with their data-based insights. The Data Scientist reports to the Director, Data Science. This is a full-time, exempt, remote position.

Specific Responsibilities
  • Mine and analyze data from company databases to provide analytics-driven product development, marketing and business strategies.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
Knowledge, skills and abilities
  • Strong problem-solving skills.
  • Experience using Data Science computer languages (Python, SLQ, etc.).
  • Data Extraction, Transformation and Loading (ETL) skills.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • A track record of publications is a plus.

2 or more years of experience in manipulating data sets and building statistical/machine learning models.


Minimum Bachelor’s degree in Computer Science or other relevant fields (mathematics, physics etc.).

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