Responsibilities
- Own reproducible data science projects end-to-end.
- Deploy and maintain data pipelines and models in a production environment.
- Work with cross-functional teams to productionize, validate, maintain, and optimize methodologies.
- Conduct research and analytics to ensure methodologies are fit for purpose and working as intended; troubleshoot, diagnose, and resolve when they are not.
- Provide technical mentorship.
- Communicate research findings to varying audiences.
- Develop, implement and maintain good programming standards and practices across our data science and analytics codebases.
- Champion and govern best practices for data use and software development.
- Use git and cloud development tools extensively to iterate and improve data science workstreams.
Qualifications
- Bachelor’s or Master’s (preferred) degree in a quantitative research field, such as computer science, data science, statistics, mathematics, biological/physical sciences, etc.
- 3-5 years code development/research experience in a business setting.
- Strong proficiency with Python, Spark, SQL, Unix, git, and AWS (S3 and EC2)
- Excellent verbal and written communication skills.
- Excellent software engineering fundamentals.
- Excellent debugging skills.
- Excellent machine learning fundamentals.
- Outstanding statistical and analytical skills.
- Collaborative code development experience, including version control, unit/integration testing, code review and sharing.
- Curiosity and skepticism
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