Identify growth opportunities and solve complex business problems in search products to drive sustainable, long-term growth.
Requirements
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis
- 2 years of experience in a data science role within a technology company
- Experience with Machine Learning on large datasets
- Experience in growth data science
- PhD in Computer Science, Statistics, Applied Mathematics, Operations Research or related technical field (preferred)
- 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis (preferred)
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
Responsibilities
- Research and develop advanced analysis, forecasting, experimentation, ML and optimization methods to identify growth opportunities
- Gather information, business goals, priorities, and organizational context around the questions to answer
- Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python)
- Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis
- Develop advanced statistical and other problem-solving methods to identify growth opportunities
- Use logs, surveys, and human-evaluation driven methods to design and validate solutions
- Autonomously drive projects from start to finish, solve complex business problems, and communicate solutions effectively
Other
- Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
- Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models
- Initiate projects inside and across the organization and drive to completion autonomously
- Communicate solutions effectively
- Advocate for users and focus on sustainable, long-term growth
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
- 5 years of work experience using analytics to solve product or business problems
