Note: The job is a remote job and is open to candidates in USA. CrowdStrike is a global leader in cybersecurity, dedicated to stopping breaches with their advanced AI-native platform. They are seeking a Lead Enterprise Data Scientist to develop and deploy AI-driven insights and predictive analytics across various business applications, while mentoring other data scientists and collaborating with organizational leaders.

Responsibilities

• 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

Skills

• 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
• 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, Financial Services, or Enterprise Applications

Benefits

• Eligibility for bonuses
• Equity grants
• A comprehensive benefits package that includes health insurance
• 401k
• Paid time off
• 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

Company Overview