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Description
Relevant experience must include designing and implementing machine learning models, data science projects, advanced analytical algorithms, programming (preferably in high-level languages such as Python), statistical analysis (including variability, sampling error, inference, hypothesis testing, exploratory data analysis, and linear models), data management (data cleaning and transformation), data mining, data modeling, assessment, artificial intelligence, and/or software engineering.
Requirements
- Bachelor’s Degree with 10 years of relevant experience, or an Associate’s Degree with 12 years of experience, especially if the experience is in-depth and clearly related to the role.
- Must possess at least two of the following skill areas: Data processing (management, curation, description, visualization, workflow, reproducibility).
Additional Details
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Engineering and Information Technology
- Industries: IT Services and IT Consulting