Lead Data Scientist (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 Lead Enterprise Data Scientist that will play a key role in developing and deploying AI-driven insights and predictive analytics across our enterprise business applications. This role will focus on creating, maintaining, and delivering high-impact data science solutions critical to business functions, including Sales, Marketing, Customer Success, and Go-to-Market (GTM) Operations. The successful candidate will also mentor other data scientists and collaborate closely with leaders throughout the organization. What You'll Do: Lead the development of predictive models, advanced analytics, and automation solutions that improve forecasting, retention, financial planning, and operational performance. Help mentor and develop other data scientists, fostering collaboration, innovation, and delivery excellence. Partner with business leaders across the enterprise to define priorities, shape data-driven strategies, and align analytics initiatives with organizational objectives. Work with enterprise data from Snowflake and other Data Lake solutions to ensure data is effectively extracted, transformed, and applied to key business initiatives. Drive the creation of impactful dashboards and visualizations in Tableau, ensuring insights are accessible and actionable for executives and functional leaders. Present findings, trends, and predictive model outcomes to senior stakeholders, translating complex analytics into clear recommendations. Champion data governance, quality, and compliance standards in analytics and reporting. Stay current with trends in AI, ML, and business analytics, identifying opportunities for innovation and automation across the organization. What You'll Need: 7+ years of experience in data science, predictive analytics, and AI. Proven track record of balancing technical excellence with business impact. 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. Demonstrated ability to communicate complex findings to executive leadership and business stakeholders in a clear, actionable manner. Experience partnering with multiple business units (Sales, Finance, Customer Success, Operations) to drive analytics adoption and strategy. Strong understanding of business KPIs, forecasting methods, customer segmentation, and operational analytics. Ability to oversee large-scale enterprise data initiatives while ensuring scalability, efficiency, and security. Excellent storytelling and communication skills, with the ability to align data science strategy to enterprise objectives. Bonus Points: Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML deployments. Experience in building key GTM ML models including MTA, predictive bookings, next best product, and churn predictions. Strong understanding of data governance, compliance, and regulatory reporting. Experience managing analytics functions in B2B SaaS, Financ