Vacancy expired!
- Completed Masters, other advanced degrees, in an analytical field such as statistics, economics, data science, mathematics, quantitiative marketing, operations research, management science, industrial engineering, etc.
- Experience with gathering and interpreting business requirement to design and create scalable data science solutions in a regulatory environment (inclding but not limited to insurance, healthcare, and finance).
- Experience with data cleansing, feature creation, feature selection, value imputation and dependent variable analysis
- Broad experience building different types of advanced analytic solutions, including some of the following: time series analysis, cluster analysis, tree based algorithms, generalized linear models, or neural networks.
- Excellent communication skills and the ability to work with multiple, diverse stakeholders across business areas and leadership levels.
- Exercise sound judgment to diagnose and resolve problems within an area of expertise
- Proficiency with SQL and with Python, R and/or SAS
- Familiarity with experiemental design for business experiements and/or natural language processing techniques
- Knowledge of work prioritization using the Agile framework
- Familiarity with DevOps systems, such as GitLab
Vacancy expired!