Responsibilities
- Work closely with our data science team to help build complex algorithms that provide unique insights into our data
- Use agile software development processes to make iterative improvements to our back-end systems
- Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis
- Build data pipelines that clean, transform, and aggregate data from disparate sources
- Develop models that can be used to make predictions and answer questions for the overall business
Required skills and qualifications
- Three or more years of experience with Python, SQL, and data visualization/exploration tools
- Familiarity with the AWS ecosystem, specifically Redshift and RDS
- Communication skills, especially for explaining technical concepts to nontechnical business leaders
- Ability to work on a dynamic, research-oriented team that has concurrent projects
Preferred skills and qualifications
- Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related discipline
- Experience in building or maintaining ETL processes
- Professional certification