2 days ago

Data Scientist III

Nexus Consulting

Hybrid
Full Time
$210,000
Hybrid

Job Overview

Job TitleData Scientist III
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$210,000
LocationHybrid

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Job Description

Data Scientist III

We are seeking a Data Scientist III with deep expertise in Salesforce Data Cloud and advanced SQL to join a high-impact Marketing Analytics team supporting Business Messaging initiatives.

This role will focus on building and scaling audience segmentation capabilities to power data-driven marketing campaigns reaching millions of customers. The ideal candidate is highly technical, hands-on with large-scale datasets, and experienced in partnering cross-functionally to develop scalable audience systems and reporting pipelines.

Key Responsibilities

Audience Segmentation & Strategy
  • Build and maintain complex audience segments in Salesforce Data Cloud
  • Develop Calculated Insights using advanced SQL
  • Identify and define audience signals to drive targeted marketing campaigns
  • Activate audience segments to marketing automation platforms
Data Engineering Partnership
  • Collaborate with Data Engineers to design and enhance data pipelines supporting marketing systems
  • Ensure reliable data flow into reporting and segmentation environments
  • Maintain and optimize large-scale datasets (millions of records)
Analytics & Reporting
  • Develop automated reporting solutions and self-service dashboards
  • Monitor campaign performance and key marketing KPIs
  • Size revenue opportunities through segmentation analysis
  • Troubleshoot and resolve data discrepancies across systems
Business Translation
  • Translate marketing requirements into technical audience definitions
  • Partner with campaign managers on complex audience builds
  • Present insights clearly to both technical and non-technical stakeholders

Required Qualifications

  • 7+ years of experience in marketing analytics, data science, data engineering, or related field
  • Expert-level SQL skills (CTEs, window functions, query optimization, large dataset handling)
  • Hands-on experience with Salesforce Data Cloud or similar CDP platforms
  • Experience building audience signals and segmentation frameworks
  • Proven collaboration with Data Engineering teams on pipeline development
  • Experience automating reports and building self-service dashboards
  • Proficiency in Tableau or similar visualization tools
  • Advanced Excel / Google Sheets skills
  • Basic Python knowledge for automation and APIs
  • Strong communication and stakeholder management skills

Preferred Qualifications

  • Experience with Salesforce Marketing Cloud (SFMC)
  • Familiarity with CRM data structures and account-level models
  • Background in B2B marketing analytics
  • Experience supporting large-scale marketing ecosystems

Core Competencies

  • Salesforce Data Cloud
  • Customer Data Platforms (CDP)
  • Advanced SQL & Data Modeling
  • Audience Segmentation Strategy
  • Marketing Analytics
  • Data Pipelines & Automation
  • Dashboard Development
  • Campaign Performance Analysis
  • Cross-Functional Collaboration

Key skills/competency

  • Salesforce Data Cloud
  • Advanced SQL
  • Audience Segmentation
  • Marketing Analytics
  • Data Pipelines
  • Tableau
  • Campaign Performance Analysis
  • Cross-Functional Collaboration
  • CRM Data
  • Python (Basic)

Tags:

Data Scientist III
Marketing Analytics
Salesforce Data Cloud
SQL
Audience Segmentation
Data Pipelines
Tableau
Campaign Performance
CRM
Python
Data Modeling
Cross-Functional Collaboration
Customer Data Platforms
Automation
Dashboard Development
B2B Marketing
Business Messaging
Data Engineering
Stakeholder Management
Google Sheets

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How to Get Hired at Nexus Consulting

  • Research Nexus Consulting's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for Marketing Analytics: Highlight Salesforce Data Cloud, SQL expertise, and segmentation projects to align with the Data Scientist III role.
  • Showcase your data pipeline experience: Emphasize collaboration with data engineers and managing large datasets in your portfolio.
  • Prepare for technical SQL challenges: Practice advanced SQL queries, window functions, and query optimization for large-scale data handling.
  • Demonstrate strong communication skills: Be ready to discuss translating technical insights for both technical and non-technical stakeholders.

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