The Data Scientist will be responsible for mining data (demographic, clinical, psychographic), developing statistical modeling, and contributing to Lirio’s machine learning platform to support Lirio Health’s vision by collaborating with internal team members and external partners.
The Machine Learning Engineer works with Data Scientists and Developers to prototype and productionalize machine learning features, work with Data Science team to test and prototype ML processes, convert prototypes into production-ready code, and work with Development Team to integrate with existing APIs and infrastructure.
The Senior Data Analyst will be responsible for cleaning, parsing, and exploratory analysis of clinical, operational, and demographic datasets. This position will work with business teams and clients to provide ad hoc analysis and design statistically valid experiments, and also help develop new data products and machine learning features.
The Data Engineer will work closely with Data Scientists, Machine Learning Engineers, and Developers to understand the provenance of data, information needed from the data, and potential ETL techniques with the ultimate responsibility for building a data architecture from the ground up.
We're always on the lookout for talented individuals with great attitudes and a knack for thinking outside the box.
Shoot us your resume and/or your LinkedIn profile, introduce yourself, and share your career path and goals. If your experience is a good fit, someone from our team will reach out to you.