Lead Data Scientist; Remote

Position: Lead Data Scientist (Remote)
## Lead Data Scientist (Remote)
Apply locations:
USA - Remote time type:
Full time posted on:
Posted 9 Days Agojob requisition :
R28807

As a global leader in cybersecurity, Crowd Strike 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 Crowd Strike 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 Crowd Striker both the flexibility and autonomy to own their careers. We’re always looking to add talented Crowd Strikers 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.
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* 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.
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* 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,…