Marketing Data Scientist

Job Responsibilities

Build and maintain audience segments in Salesforce Data Cloud, including signal identification, Calculated Insights (SQL), and activation to SFMC
Partner with Data Engineers to design and build data pipelines that feed marketing reporting and audience systems
Develop automated reporting solutions and self-service dashboards to track campaign performance and marketing KPIs
Pull, clean, and analyze large datasets (millions of records) to deliver audience strategy, segmentation, and revenue opportunity sizing
Ensure data quality and troubleshoot data discrepancies across audience and reporting systems
Translate business requirements into technical audience definitions and partner with campaign managers on complex builds
Skills:
Marketing team - leveraging internal customer data
Large data set piece - experience
Need Analyst to help group/map audiences to inform decisions - SQL and python
Mapping logic
Build audience segments within data cloud
Translating super complex ideas - working with XFN and communicating
Marketing And Analytics (HIVE, unidash or something similar)
Education/Experience:
7+ years of experience in marketing analytics, data engineering, data science, or a related analytics role
Expert-level SQL skills: complex queries, CTEs, window functions, query optimization, and working with large datasets (millions of records)
Hands-on experience with Salesforce Data Cloud (or similar CDPs) including segment creation, Calculated Insights, and activation workflows
Experience building audience signals and audience segments for marketing campaigns
Proven experience partnering with Data Engineers to build and maintain data pipelines
Strong experience with report automation: scheduled reports, automated data refreshes, and self-service dashboards
Proficiency in data visualization tools such as Tableau, Hive, or similar
Advanced Google Sheets/Excel skills
Basic Python skills for automation and API utilization
Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders