DescriptionJob 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 youll 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.
Job Responsibilities:
- Develop multi-touch attribution and influence models that quantify marketings 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.
Required qualifications capabilities & Skills:
- 35 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.
Required Experience:
IC
DescriptionJob 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 youll be the expert in lead-gen attribution modeling data integration and audience ident...
DescriptionJob 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 youll 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.
Job Responsibilities:
- Develop multi-touch attribution and influence models that quantify marketings 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.
Required qualifications capabilities & Skills:
- 35 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.
Required Experience:
IC
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