The company is looking to drive business impact and growth through data-driven decision making, and needs a Data Scientist to partner with finance and product teams to analyze customer behavior and optimize revenue.
Requirements
- Significant experience with SQL and large unstructured datasets
- Deep understanding of statistical analysis, modeling, and common analytical techniques like regression
- Proficiency in Python, R, SQL, and familiarity with data visualization tools such as Tableau or Power BI
- Robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company
- Advanced degree (Masters or PhD) in a quantitative discipline such as Statistics, Data Science, Economics, or a related field (preferred)
- 5+ years experience using analytics to drive key business decisions
- Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
Responsibilities
- Develop a deep understanding of customer journey phases and key business metrics
- Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
- Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
- Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
- Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends
- Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
- Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
Other
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
- Excellent communication skills with the ability to articulate complex data concepts clearly to diverse stakeholders
- Work with cross-functional teams (including Finance, Data Science, Engineering, Product, Engineering, User Research, and senior executives) to rapidly execute and iterate
- Ensure data integrity and compliance with regulatory and internal policies
- Competitive medical, dental, and vision coverage
- 401(k) plan with a generous company match and immediate vesting
- Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh
