Data Scientist

📋 Description

• Develop predictive forecasting models and pipeline analytics
• Analyze revenue trends across sales, customers, and operations
• Build scalable dashboards and operational intelligence
• Partner with Revenue Operations and Finance to improve KPI governance
• Support AI readiness via data quality analysis and modeling
• Collaborate with Data Engineering to improve GTM data architecture

🎯 Requirements

• 5+ years of Data Science/Analytics or Revenue Intelligence experience
• Strong SQL, Python, and statistical modeling expertise
• Experience with large operational and sales datasets
• Experience building forecasting and predictive analytics models
• Strong data visualization and dashboarding capabilities
• Experience partnering with business stakeholders and executive teams

🎁 Benefits

• Flexible working environments
• Birthday Leave, 12 weeks parental leave, and 5 days of study leave
• Creative, fun, and contemporary work environments
• Motivated team of industry experts and plenty of learning opportunities
• Celebrated success with internal awards programs
• Health and wellness program