Senior Data Scientist, Revenue

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Requirements:

• Advanced degree in Statistics, Computer Science, Mathematics or a related field, or relevant industry experience.
• Expert querying and data manipulation skills using SQL, and strong data analysis skills using Python (or any other statistical programming language)
• Ability to proactively drive initiatives with minimal oversight. You understand when needs arise and creatively find solutions.
• Experience in Marketing Analytics, Sales Analytics, or similar.

Responsibilities:

• Manage the inflow of data requests from revenue stakeholders, ensuring adequate two-way communication on needs, expectations, and progress, and high quality, timely delivery.
• Drive the strategic roadmap of Revenue Analytics as the business grows and data needs scale in both magnitude and complexity.
• Be the subject matter expert in the customer funnel, driving and developing the company’s understanding of acquisition, conversion, engagement, and retention through behavioral analyses and insights.
• Apply statistical methodologies such as logistic regression, clustering, causal inference, predictive modeling, and experimentation to optimize each step of the funnel and derive insights that inform the best ways to engage customers at different stages and states.
• Implement and ensure consistency in data, metrics definition, and terminology across the revenue domain.
• Collaborate with the revenue teams to ensure data and logic alignment across platforms (data warehouse, Hubspot, Intercom, etc.).
• Collaborate with the data team to build a scalable source of truth across the company.