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.
Qualifications
Key Responsibilities
Analyze various data sets and build sophisticated mathematical/statistical models
Design and optimize algorithms to achieve the best solutions
Collaborate with product management and engineering departments to understand company needs and devise possible solutions
Keep up-to-date with latest technology trends
Communicate results and ideas to key decision makers
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Participate in product ideation sessions, roadmap reviews and customer calls as needed.
Qualifications & Experience
Strong quantitative and analytical skills with an advanced degree in a STEM discipline (Masters required, PhD preferred)
Experience using at least two of the following: R, Python, C, C++, SQL, Java. (Experience with Spark/Scala a plus.)
Experience defining research hypotheses, analyzing data sets, engineering features and building machine learning mathematical/statistical models and/or optimization algorithms
Ability to communicate complex quantitative analysis results in a clear, precise, and actionable manner using a variety of presentation tools including Excel, PowerPoint, etc.
Ability to work collaboratively and independently.
Personal Characteristics
A passion for data science and problem-solving in general
Self-driven individual who can take a high level idea and see it through to completion with minimal supervision
The desire and ability to work in a fast-paced, start-up atmosphere
Takes a pragmatic approach to problem-solving, combined with the ability to thrive under the pressure of constant change and moving objectives
Ability to work under tight deadlines and display grace under pressure
Willingness to learn about the industry we serve
Excellent organizational, interpersonal, and communication skills (both written and verbal).
Additional Information
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.
Skills Required
- Advanced degree in a STEM discipline (Masters required)
- PhD in a STEM discipline
- Experience using at least two of: R, Python, C, C++, SQL, Java
- Experience with Spark or Scala
- Experience defining research hypotheses, analyzing datasets, engineering features, and building machine learning/statistical models or optimization algorithms
- Strong quantitative and analytical skills
- Ability to communicate complex quantitative analysis clearly using Excel, PowerPoint, and other presentation tools
- Ability to work collaboratively and independently in a fast-paced startup environment
- Implement new statistical or mathematical methodologies as needed
What We Do
CLARA Analytics improves claims outcomes in commercial insurance with easy-to-use AI-based products. The company’s product suite applies image recognition, natural language processing, and other AI-based techniques to unlock insights from medical notes, bills and other documents surrounding a claim. CLARA’s predictive insight gives adjusters “AI superpowers” that help them reduce claim costs and optimize outcomes for the carrier, customer and claimant. CLARA’s customers include companies from the top 25 global insurance carriers to large third-party administrators and self-insured organizations. Founded in 2016, CLARA Analytics is headquartered in California’s Silicon Valley.









