Data Scientist
Core
Build advanced analytics and operational intelligence capabilities to scale forecasting, revenue insights, and AI readiness for the Revenue organization.
Role type
Senior Data Scientist (Revenue Intelligence)
Builds
Predictive forecasting models, pipeline analytics frameworks, scalable dashboards, and operational intelligence solutions.
Domain
SaaS / Network as a Service (NaaS) / Revenue Operations
Deliverable
production ML models | dashboards & analysis
Required skills
Predictive modeling, forecasting, statistical analysis, data visualization, SQL, Python, large dataset handling, SaaS business model understanding
Preferred skills
AI readiness initiatives, GTM data architecture, data governance, metric standardization
Technologies
SQL, Python
Responsibilities
Develop predictive forecasting models and pipeline analytics frameworks; Analyze sales productivity, customer behavior, and revenue trends; Build scalable dashboards and operational intelligence solutions; Partner with Revenue Operations and Finance to improve KPI governance; Support AI readiness through data quality analysis; Collaborate with Data Engineering on GTM data architecture; Identify operational inefficiencies and recommend process improvements; Support executive decision making through advanced reporting.
Seniority
Senior, hands-on IC
