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Senior, specialized marketing attribution ML role reduces applicant density despite recognizable employer.
Role demands deep marketing analytics and CRM expertise, limiting cross-industry transferability.
Explicit 10+ years requirement and mandatory domain skills make shortlisting highly selective.
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Own the design, development, and maintenance of multi-touch marketing attribution models linking marketing efforts to pipeline, revenue, and deal influence.
Integrate and analyze data from CRM (e.g., Salesforce, Dynamics), marketing automation, product usage, and data warehouses (Snowflake, BigQuery) to generate executive-level insights on marketing impact.
Lead advanced statistical modeling, predictive analytics (e.g., lead scoring, customer lifetime value), market mix models, uplift modeling, and causal inference to measure and improve marketing effectiveness.
Minimum 10+ years of experience in marketing analytics and data science focused on attribution modeling and revenue measurement.
Proficiency in Python and SQL for data analysis, modeling, and automation is mandatory.
Experience with CRM and marketing data ecosystems, including Salesforce and marketing automation platforms.
Bachelor's degree in Business Analytics, Computer Science, or Statistics; Master's in Data Science preferred.
Expert in advanced statistical techniques and machine learning models applied to marketing funnel and revenue operations.
Comfortable working in hybrid and flexible work shifts with ability to deliver actionable executive insights.
Demonstrated ability to lead experimentation, model validation, and causal inference projects in marketing analytics context.