Senior Data Scientist, Revenue Analytics

Accountabilities

Lead complex, cross-functional analytics initiatives that identify revenue opportunities and influence strategic business decisions.
Develop innovative data-driven strategies to optimize customer acquisition, revenue generation, and overall business performance across the revenue lifecycle.
Design, execute, and interpret advanced quantitative analyses, including A/B testing, simulation modeling, causal inference, and statistical experimentation.
Build, maintain, and optimize data pipelines, analytical models, and reporting frameworks to improve data quality and business insights.
Collaborate with product, engineering, growth, sales, and risk teams to translate business challenges into scalable analytical solutions.
Present actionable insights and strategic recommendations to senior leadership through clear data storytelling and visualization.
Champion the adoption of AI technologies and advanced analytical tools to improve team productivity, efficiency, and decision-making.
Mentor teammates by promoting analytical excellence, best practices, and a culture of continuous learning and innovation.

Requirements

• 5+ years of experience in Data Science, Analytics, Management Consulting, or a related quantitative field with a strong focus on solving business problems through data.
• Advanced degree in Data Science, Statistics, Economics, Analytics, Mathematics, Computer Science, or a closely related quantitative discipline.
• Expert-level proficiency in SQL and Python for data analysis, modeling, and automation.
• Strong experience designing and evaluating experiments, including A/B testing, statistical analysis, simulation modeling, and causal inference techniques.
• Experience working with Git and collaborative software development workflows.
• Strong written and verbal communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
• Demonstrated ability to lead cross-functional projects and influence strategic decisions through data-driven recommendations.
• Passion for applying AI tools and emerging technologies to improve analytics workflows and business outcomes.
• Strong analytical thinking, problem-solving abilities, and intellectual curiosity with a collaborative, team-oriented mindset.
• Able to thrive in fast-paced environments characterized by ambiguity, evolving priorities, and high-impact business challenges.
• Must be located within the continental United States.

Benefits

• Competitive annual base salary ranging from $125,000 to $135,000 USD, based on experience, skills, and qualifications.
• Comprehensive medical, dental, and vision insurance coverage.
• Equity opportunity through stock participation in a rapidly growing technology company.
• Flexible and generous paid time off policy.
• 401(k) retirement savings plan with financial guidance resources.
• Fully remote work opportunity within the United States.
• Collaborative, diverse, and supportive team environment with opportunities for professional growth and innovation.