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CLARA analytics in Santa Clara, California, is looking for a Data Scientist to transform operational performance in the workers’ compensation sector. You will analyze data, build models, and collaborate with teams to create cutting-edge healthcare products.
The ideal candidate will have a strong STEM background, excellent analytical skills, and experience with programming languages like Python or R. Join us to make a significant impact in a fast-growing company!
At CLARA analytics we build AI-based InsurTech products that help workers’ compensation claims examiners get in front of their claims through easy-to-use AI and machine learning. Our CLARA Claims product helps claims managers focus their teams’ efforts, while CLARA Providers helps connect the injured worker to the right doctor fast. While there is deep data science behind these solutions, they are packaged in easy-to-use formats that can start delivering value in a few months.
CLARA analytics is looking for extraordinary data scientists to synthesize and leverage ever-growing datasets to help radically transform the operational performance in the workers’ compensation sector.
The Data Scientist role involves working on all stages of the data science pipeline, from acquiring and assessing data, selecting appropriate models and algorithms and/or deriving custom algorithms, testing and evaluating these algorithms and models, and incorporating them into a commercial product. She/He will work with a team of Data Scientists to create bleeding edge analytic technology.
This is a chance to get in early with a rapidly growing Silicon Valley company, and to participate in developing the next generation of truly game-changing, healthcare-related products. Job title and compensation will be adjusted as appropriate to meet the experience level of the right candidate.
Key Responsibilities
Qualifications & Experience
Personal Characteristics
At CLARA analytics, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.