CIB Marketing Data Scientist

JPMorganChase•Jersey City, NJ

20h

About The Position

Job Summary: Are you motivated by the opportunity to turn complex digital data into clear, actionable intelligence that drives commercial impact? Join our dynamic team as a Marketing Data Scientist, where you’ll be the expert in lead-gen attribution modeling, data integration, and audience identification supporting GTM activations and marketing initiatives. In this high-visibility role, you will influence key marketing and sales decisions, shape data strategy, and partner closely with channel owners, product marketers, and sales leaders to elevate how we reach and convert B2B audiences.

Requirements

3–5 years’ experience in data science, marketing analytics, or related fields
Strong proficiency in Python and SQL; comfortable working in Databricks or similar cloud-based environments
Hands-on experience with attribution modeling, entity resolution, and multi-source data integration.
Skilled in dashboard development with ThoughtSpot, Tableau, or similar tools.
Strong knowledge of marketing technology stacks including: ABM platforms (e.g., 6sense), web analytics (Adobe Analytics, ContentSquare), metadata/taxonomy governance (Claravine), and marketing automation tools (Marketo, Salesforce Marketing Cloud) and CRM platforms with deep expertise in lead lifecycle management, pipeline reporting and marketing-sales attribution.
Deep understanding of digital marketing metrics, funnel diagnostics, and performance optimization across web, podcasts, paid media, email, and social.
Understanding of privacy and consent frameworks (GDPR, CCPA) and their impact on digital analytics.
Ability to translate complex analytical concepts into straightforward insights for non-technical stakeholders.
Strong project management capabilities with the ability to prioritize multiple concurrent initiatives.

Responsibilities

Develop multi-touch attribution and influence models that quantify marketing’s impact on lead creation, acceleration, and conversion.
Partner with channel teams to optimize performance across web, paid media, search, email, and podcasts.
Identify the digital behaviors most strongly correlated with high-quality pipeline creation, informing investment and audience-targeting strategies.
Integrate signals across Adobe Analytics, ContentSquare, 6sense, Salesforce, and podcast/digital content platforms.
Apply entity-resolution techniques and account-based signals to deanonymize website and omnichannel engagement, enriching customer profiles and surfacing high-intent prospects.
Design repeatable data pipelines in Databricks and Alteryx to unify, cleanse, and model complex datasets.
Map end-to-end customer journeys across channels to identify drop-offs, opportunities, and behaviors driving progression through the funnel.
Analyze content consumption patterns – including on-site behavior, podcasts, thought leadership, and social engagement – to surface actionable insights for GTM teams.
Build intuitive, executive-ready dashboards and analytics products using ThoughtSpot, Tableau, or equivalent tools.
Translate statistical and machine learning findings into clear narratives for senior stakeholders, ensuring insights influence strategic decision-making.
Validate tracking implementations, ensure compliance with privacy standards (GDPR, CCPA), and champion consistency in event, campaign, and content tagging.
Implement QA processes to ensure accuracy and completeness across integrated datasets.