This is a remote position.
Data Scientist Engineer (1 year experience, remote)
About us: Be part of our future! This job posting builds our talent pool for potential future openings. We'll compare your skills and experience against both current and future needs. If there's a match, we'll contact you directly. No guarantee of immediate placement, and we only consider applications from US/Canada residents during the application process.
Hiring Type: Full-Time
Base Salary: $62K-$72K Per Annum.
Candidates must be authorized to work in the United States full-time. We are not able to sponsor applicants for work visas at this time.
Benefits:
- We offer health benefits and generous PTO packages.
- Our office is dog friendly, has unlimited snacks & drinks, flexible working hours (get out for the pow day!), and lots of rock climbing & skateboarding.
- We offer competitive healthcare benefits and a 401k program.
- we are committed to being a fun, groundbreaking, and inclusive place to work. We strongly encourage engineers from all community and traditionally underrepresented backgrounds to apply
Skills and Abilities:
- Strong knowledge of R or Python for data analysis and modeling.
- Proficiency in statistical programs such as R, SAS, MATLAB, or Python.
- Familiarity with spreadsheets (VBA) and database applications (Access, Oracle, SQL, or equivalent technology).
- Basic understanding of SQL, Javascript, XML, JSON, and HTML.
- Ability to learn new methods quickly and work under deadlines.
- Excellent teamwork and communication skills.
- Strong analytical and problem-solving abilities.
- Basic understanding of SQL, Javascript, XML, JSON, and HTML.
Preferred:
- Knowledge of actuarial concepts and life, health, and/or annuity products.
- Experience with statistical modeling techniques such as GLM, Decision Trees, Time Series, Regression, etc.
- Familiarity with Microsoft DeployR.
- Exposure to insurance risk analysis.
- Basic experience in computational finance, econometrics, statistics, and math.
- Knowledge of SQL and VBA.
- Familiarity with R or Python for predictive modeling
