
Staff Data Scientist, Product, Workspace
- Boulder, CO
- Permanent
- Full-time
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Boulder, CO, USA; Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA; San Francisco, CA, USA.Minimum qualifications:
- Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
- 7 years of experience with statistical data analysis.
- 6 years of experience conducting A/B tests to drive improvement of product metrics.
- 5 years of experience with data mining, querying, and managing investigative projects.
- 3 years of experience developing and managing metrics or evaluating programs/products.
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 12 years of experience solving product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
- Perform analysis utilizing relevant tools (e.g., SQL, R, Python). Provide leadership through proactive contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).
- Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of investigative/statistical models, and presentation to stakeholders.
- Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, problem-solving and product-specific expertise.
- Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and help define operational goals and objectives.
- Oversee the contributions of others and develop colleagues’ capabilities in the area of specialization.