

Intelliswift Software
Data Scientist (Marketing, Audience Strategy)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (Marketing, Audience Strategy) in San Francisco or Menlo Park, CA, for 12 months at an unspecified pay rate. Requires 7+ years in marketing analytics, expert SQL, Salesforce Data Cloud experience, and strong data visualization skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
800
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🗓️ - Date
February 3, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco Bay Area
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🧠 - Skills detailed
#Strategy #Data Engineering #Complex Queries #Datasets #SQL (Structured Query Language) #CRM (Customer Relationship Management) #Tableau #Automation #Visualization #Data Pipeline #Data Quality #Cloud #API (Application Programming Interface) #Salesforce Marketing Cloud #Data Science #Python
Role description
Job Title: Senior Marketing Analyst/Marketing Data Scientist/Engineer (Salesforce Data Cloud & Audience Strategy)
Location: San Francisco, CA OR Menlo Park, CA
Duration: 12 Months
We are seeking a Senior Marketing Analyst/Marketing Data Scientist/Data Engineer with deep expertise in Salesforce Data Cloud (or similar CDPs) and advanced SQL skills to join our client's team. This role is critical to building and scaling our audience segmentation capabilities, enabling data-driven marketing campaigns that reach millions of customers. The ideal candidate will be hands-on in building audience signals, creating complex segments in Salesforce Data Cloud, and partnering with data engineers to develop robust data pipelines for marketing reporting and insights.
The ideal candidate is someone who brings together Salesforce expertise, data science rigor, and marketing experience.
Key Responsibilities
Build and maintain audience segments in Salesforce Data Cloud (or similar CDPs), 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
Required Qualifications
• 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
Preferred Qualifications
• Experience with Salesforce Marketing Cloud (SFMC) and marketing automation workflows
• Familiarity with CRM data structures and account-level data models
• Background in B2B marketing analytics
Job Title: Senior Marketing Analyst/Marketing Data Scientist/Engineer (Salesforce Data Cloud & Audience Strategy)
Location: San Francisco, CA OR Menlo Park, CA
Duration: 12 Months
We are seeking a Senior Marketing Analyst/Marketing Data Scientist/Data Engineer with deep expertise in Salesforce Data Cloud (or similar CDPs) and advanced SQL skills to join our client's team. This role is critical to building and scaling our audience segmentation capabilities, enabling data-driven marketing campaigns that reach millions of customers. The ideal candidate will be hands-on in building audience signals, creating complex segments in Salesforce Data Cloud, and partnering with data engineers to develop robust data pipelines for marketing reporting and insights.
The ideal candidate is someone who brings together Salesforce expertise, data science rigor, and marketing experience.
Key Responsibilities
Build and maintain audience segments in Salesforce Data Cloud (or similar CDPs), 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
Required Qualifications
• 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
Preferred Qualifications
• Experience with Salesforce Marketing Cloud (SFMC) and marketing automation workflows
• Familiarity with CRM data structures and account-level data models
• Background in B2B marketing analytics






