Job Summary
A financial technology company is seeking a Remote Growth Machine Learning Modeler in San Francisco.
Must be able to:
- Lead and drive cross functional machine learning/data science projects from beginning to end
- Use and learn a diverse set of techniques spanning machine learning (including deep learning), causal inference, and other forms of statistical modeling
- Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria
Skills and Requirements Include:
- 2+ years industry experience in data science or machine learning-focused roles
- An advanced degree (M.S., PhD.), preferably in Statistics, Computer Science, Physical Sciences, Economics, or a related technical field
- A strong track record of performing data analysis using Python (numpy, pandas, scikit-learn, etc.) and SQL
- Experience using statistics and machine learning to solve complex business problems
- Familiarity with Linux/OS X command line, version control software (git), and general software development
- The versatility and willingness to learn new technologies on the job
