Sr Data Scientist, Marketing (Remote)

About the Role

Key Responsibilities

• Develop and implement predictive analytics and machine learning models to optimize Quote-to-Cash, Renewals, Churn & Contraction, and Business Review Automation processes.
• Work with large-scale enterprise datasets in Snowflake and other Data Lake solutions to extract, clean, and transform data for business applications.
• Create and deliver insightful data visualizations and dashboards in Tableau, making complex data accessible to executive teams and functional leaders.
• Present data findings and predictive model insights to business leaders, translating complex models into actionable business recommendations.
• Partner with Sales, Finance, and Customer Success teams to improve forecasting models, sales pipeline analysis, and revenue optimization.
• Automate key business review processes using AI and advanced analytics, reducing manual effort and improving accuracy.
• Ensure data quality, governance, and compliance in business reporting and analytics.
• Stay up to date with the latest trends in AI, ML, and business analytics, identifying opportunities for innovation and automation.

Requirements

• 10+ years of experience in data science, predictive analytics, and AI for business applications.
• Expertise in Python, R, or SQL for data manipulation, statistical modeling, and machine learning.
• Hands-on experience with Snowflake or other cloud-based Data Lake solutions for enterprise data processing.
• Strong proficiency in Tableau (preferred BI tool) for data visualization and reporting.
• Strong understanding of business processes such as Quote-to-Cash, Renewals, Churn & Contraction, and Business Review Automation processes.
• Proven ability to communicate and present complex data findings to executive leadership and business stakeholders.
• Demonstrated experience working with Sales, Finance, and Customer Success teams to drive analytics adoption.
• Deep understanding of business KPIs, revenue forecasting techniques, customer segmentation, and operational analytics.
• Ability to work with large enterprise datasets, ensuring efficiency, scalability, and security.
• Strong storytelling and communication skills, with the ability to translate predictive model insights into strategic business decisions.

Nice to Have

• Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML deployments.
• Strong understanding of data governance, compliance, and regulatory reporting.
• Experience working in B2B SaaS, Financial Services, or Enterprise Applications.

Qualifications

• Educational background or certifications are not explicitly specified in the description.

Benefits & Perks

• Remote-friendly and flexible work culture
• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees
• Employee Networks, geographic neighborhood groups, and volunteer opportunities
• Vibrant office culture with world class amenities