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Tier-1 brand, popular Data Scientist role, metro location, and broad technical requirements increase competition.
Strong digital marketing attribution and ad-tech domain requirements limit cross-industry transferability.
Multiple mandatory technologies plus deep marketing attribution expertise create strict candidate filtering.
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Own and develop the end-to-end attribution logic by integrating media platform data with internal web behavior data to create a unified customer journey analysis.
Lead technical data pipeline development and maintenance on GCP/BigQuery using Dataform and SQL, ensuring robust version-controlled backend architecture.
Proactively identify inefficiencies and scale analytical best practices, driving automated AI/ML enhancements and providing actionable marketing budget recommendations.
Expert-level SQL proficiency and strong Python skills.
Experience with Google Cloud Platform services (BigQuery, Dataform) and Git for version control.
Proven experience building or managing multi-touch attribution models in a complex, multi-channel retail or digital marketing environment.
Work Experience Required: Not explicitly mentioned in the JD.
Deep expertise in digital marketing data ecosystems including Paid Search, Programmatic, Social, and Organic channels.
Demonstrated ability to lead cross-functional collaborations and act as a technical gatekeeper for data quality involving multiple stakeholders.
Experience applying AI/ML techniques to automate and optimize data workflows and improve analytics product efficiency.