Sr Data Scientist, Marketing (Remote)
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward.
We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other.
Ready to join a mission that matters? The future of cybersecurity starts with you.
• About The Role:*
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.
• What You'll Do:
• 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.
• What You'll Need:
• 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.
• Bonus Points:
• 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 is a plus.
• Benefits Of Working At CrowdStrike:
• 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 l
We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other.
Ready to join a mission that matters? The future of cybersecurity starts with you.
• About The Role:*
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.
• What You'll Do:
• 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.
• What You'll Need:
• 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.
• Bonus Points:
• 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 is a plus.
• Benefits Of Working At CrowdStrike:
• 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 l