Data Scientist, Revenue Analytics

This is a fully remote position, open to applicants in Canada.

📋 Description

• Create statistical models and analytical frameworks that assess the impact of marketing, sales, and customer success efforts on pipeline, bookings, ARR, renewals, and expansions.

• Evaluate the effectiveness of paid media investments, focusing on channel performance, return on advertising spend (ROAS), customer acquisition cost (CAC), and marketing ROI.

• Develop predictive models to uncover the factors influencing customer acquisition, free trial conversion, customer retention, expansion, and churn.

• Design and assess experiments to quantify incremental business impact and guide strategic investment decisions.

• Collaborate with cross-functional teams to establish success metrics and formulate measurement strategies throughout the customer lifecycle.

• Create forecasting models to aid in revenue planning and investment decisions.

• Present analytical insights to senior leadership through effective storytelling and data visualization, converting complex analyses into actionable business recommendations.

• Continuously enhance data quality, measurement methodologies, and analytical best practices across the organization.

⛳️ Requirements

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative discipline (Master’s or PhD preferred).

• Over 5 years of experience utilizing statistical analysis to address complex business challenges.

• Strong grounding in statistical inference, regression analysis, hypothesis testing, experimental design, and predictive modeling.

• Advanced SQL proficiency with experience in creating large-scale analytical datasets.

• Skilled in Python or R for statistical analysis and machine learning applications.

• Experience in developing predictive models leveraging techniques such as logistic regression, gradient boosting, random forests, or survival analysis.

• Solid understanding of SaaS business metrics, including ARR, ACV, CAC, LTV, conversion rates, retention, renewal, and expansion.

• Exceptional communication skills, capable of conveying complex analytical concepts to both technical and non-technical stakeholders.

• Proven ability to shape business strategy through data-driven insights.

🏝️ Benefits

• Bonuses

• Stock grants

• Comprehensive benefits package