3 hours ago

Data Scientist

Nexus Consulting

Hybrid
Full Time
$208,000
Hybrid

Job Overview

Job TitleData Scientist
Job TypeFull Time
Offered Salary$208,000
LocationHybrid

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Job Description

About the Role

We are seeking a Data Scientist 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
  • CDP
  • Tableau
  • Campaign Performance Analysis
  • Stakeholder Management
  • Python for Automation

Tags:

Data Scientist
Audience Segmentation
Marketing Analytics
Data Pipelines
SQL Optimization
Campaign Performance
CDP
Reporting
Business Translation
Stakeholder Management
Salesforce Data Cloud
SQL
Tableau
Python
Excel
Google Sheets
Salesforce Marketing Cloud
CRM
Data Visualization
Data Modeling

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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 Data Scientist roles: Highlight Salesforce Data Cloud, advanced SQL, and marketing analytics experience.
  • Showcase data storytelling skills: Prepare examples demonstrating how you translate complex data into actionable business insights.
  • Prepare for technical assessments: Practice advanced SQL queries, data modeling, and scenario-based problem-solving relevant to marketing analytics.
  • Demonstrate collaboration: Be ready to discuss experiences partnering with data engineering and marketing teams on complex projects.

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