Marketing Data Scientist
Core
Build predictive models and analytical frameworks to drive demand forecasting, revenue intelligence, and marketing strategy for B2B cloud communications.
Role type
Senior Marketing Data Scientist (Revenue Analytics)
Builds
Predictive models for demand forecasting, pipeline prediction, lead scoring, and revenue attribution.
Domain
B2B SaaS / Cloud Communications / Marketing Analytics
Deliverable
production ML models
Required skills
Python, SQL, predictive modeling, demand forecasting, revenue analytics, CRM data ecosystems, data visualization, stakeholder influence
Preferred skills
Customer lifetime value (LTV) modeling, churn prediction, marketing automation platform expertise, advanced degree in quantitative field
Technologies
Python (scikit-learn, statsmodels, Prophet, pandas, NumPy), SQL, Salesforce (Einstein Analytics/Tableau CRM), Tableau, Power BI, Snowflake, AWS, GCP, Azure, Git
Responsibilities
Build and deploy demand forecasting and pipeline prediction models; Develop lead scoring and audience propensity models; Analyze relationship between marketing investment and revenue outcomes; Identify high-value market segments through data modeling; Develop personalization models for tailored customer experiences; Collaborate with Marketing and Sales to embed models into operational workflows
Seniority
Senior, hands-on IC
