Data Scientist
At a glance
Mid-level Data Science role at CLARA analytics. Santa Clara · full-time · no salary stated · we estimate $115,300–$175,500 across the United States.
CLARA analytics has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Work across the data science pipeline, from assessing incoming data to putting tested models into a commercial product
- Study datasets and develop statistical or mathematical models, then refine algorithms to improve their solutions
- Join product and engineering teams to turn business needs into analytical approaches
- Explain findings to decision makers and contribute to product ideas, roadmap discussions and customer calls
What you bring
- A master's degree in a STEM field is required; a doctorate is preferred
- Hands-on experience with at least two listed languages or tools, such as R, Python or SQL
- Experience framing research questions, preparing features and building machine-learning models or optimization algorithms
- Strong quantitative skills and the ability to make complex analysis clear and useful
Who this fits
This mid-level role suits someone comfortable working independently and with a data science team, carrying ideas through with limited supervision. The job is onsite in Santa Clara and includes collaboration with product and engineering teams, plus participation in customer calls.
From the employer
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
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).
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.