Staff Data Scientist – Operations
Mozilla
PythonSQL
Senior Manager, Data Science – Enterprise AI
CrowdStrike
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $145,000 - $220,000 per year
Job Level
Senior
Tech Stack
CloudPythonSQLTableau
About the role
- Lead, mentor, and develop a team of 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.
- Oversee the development of predictive models, advanced analytics, and automation solutions that improve forecasting, retention, financial planning, and operational performance.
- Guide the use of 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.
Requirements
- 10+ years of experience in data science, predictive analytics, and AI, with at least 3+ years in a people management role leading high-performing teams.
- Proven track record of managing and mentoring data science professionals, 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.
Benefits
- Remote-friendly and flexible work culture
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data sciencepredictive analyticsAIPythonRSQLstatistical modelingmachine learningdata manipulationdata governance
Soft skills
mentoringcollaborationcommunicationstorytellingleadershipinnovationstrategic alignmentpresentation skillsanalytical thinkingbusiness impact
