Lead Data Scientist (remote)

CrowdStrike CrowdStrike · Enterprise · United States · Remote

Lead Data Scientist role focused on developing and deploying AI-driven insights and predictive analytics for enterprise business applications (Sales, Marketing, Customer Success, GTM Operations). Responsibilities include leading model development, mentoring junior data scientists, partnering with business leaders, working with enterprise data (Snowflake), creating dashboards (Tableau), and presenting findings. Requires 7+ years of experience in data science, predictive analytics, and AI, with expertise in Python/R/SQL and Snowflake. Experience with GTM ML models is a plus.

What you'd actually do

  1. Lead the development of predictive models, advanced analytics, and automation solutions that improve forecasting, retention, financial planning, and operational performance.
  2. Help mentor and develop other data scientists, fostering collaboration, innovation, and delivery excellence.
  3. Partner with business leaders across the enterprise to define priorities, shape data-driven strategies, and align analytics initiatives with organizational objectives.
  4. Work with enterprise data from Snowflake and other Data Lake solutions to ensure data is effectively extracted, transformed, and applied to key business initiatives.
  5. Drive the creation of impactful dashboards and visualizations in Tableau, ensuring insights are accessible and actionable for executives and functional leaders.

Skills

Required

  • Python
  • R
  • SQL
  • Snowflake
  • Tableau
  • data manipulation
  • statistical modeling
  • machine learning
  • predictive analytics
  • AI

Nice to have

  • AWS
  • GCP
  • Azure
  • MTA
  • predictive bookings
  • next best product
  • churn predictions
  • data governance
  • compliance
  • regulatory reporting
  • B2B SaaS
  • Financial Services
  • Enterprise Applications

What the JD emphasized

  • 7+ years of experience in data science, predictive analytics, and AI
  • Proven track record of balancing technical excellence with business impact
  • Experience in building key GTM ML models including MTA, predictive bookings, next best product, and churn predictions

Other signals

  • AI-driven insights
  • predictive analytics
  • enterprise business applications
  • forecasting
  • retention
  • financial planning
  • operational performance