Sr Data Scientist, Marketing (Remote)

CrowdStrike

109d • $125,000 - $180,000

About The Position

We are seeking a Sr. Data Scientist to lead AI-driven insights and predictive analytics for enterprise business applications, focusing on critical processes such as Quote-to-Cash, Renewals, Churn & Contraction, and Business Review Automation. This role will leverage enterprise data from Data Lake solutions like Snowflake and deliver actionable insights through Tableau (preferred BI tool) to optimize Marketing, Sales, Finance, Customer Success, and GTM Operations. The ideal candidate will combine deep technical expertise with strong business acumen, translating complex data insights into clear, impactful presentations for executive leadership. They will work closely with business leaders, data engineers, and product teams to develop predictive models and analytical solutions that enhance revenue forecasting, improve retention strategies, and automate decision-making.

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 in a clear, actionable manner.
• 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 Haves

• 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.

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 and key stakeholders, 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.

Benefits

• 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 regardless of level or role
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
• Great Place to Work Certified™ across the globe

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees