Lead Data Scientist (Remote)
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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.
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.
Benefits
- 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
- health insurance
- 401k
- paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
