Marketing Data Scientist — Predictive Analytics for Growth

Fusion92; United States; Hybrid; USD 65,000 - 90,000; Full time

Job summary

Fusion92 is seeking a Data Scientist to design and deploy advanced analytical solutions that power marketing decisions and customer insights. This role collaborates with strategy, media, client services, and engineering to translate business challenges into data-driven initiatives.

You will build scalable ML models, maintain data pipelines, and present findings to diverse stakeholders, contributing to growth and innovation across the organization.

Qualifications

• 1-3 years of applied data science experience, ideally in marketing, media, or customer analytics environments.
• Advanced proficiency in SQL for complex querying and data manipulation.
• Strong Python skills for data analysis, modeling, automation, API integration, and production workflows.
• Hands-on experience with machine learning frameworks (scikit-learn, XGBoost) and cloud/data platforms (AWS, Azure, Snowflake).
• Strong foundation in statistics, experimental design, and computer science principles.
• Experience building and deploying models in production environments.

Responsibilities

• Design, develop, and deploy predictive models, segmentation frameworks, and machine learning solutions to support marketing performance, targeting, and customer analytics.
• Analyze large, complex datasets to uncover insights that inform strategic and tactical business decisions.
• Build and maintain robust data pipelines to ensure clean, reliable data for analysis and modeling.
• Ensure model integrity and performance through validation, QA processes, documentation, and ongoing monitoring.
• Design and execute experiments (A/B and multivariate tests) to evaluate campaign effectiveness.

Skills

Python

SQL

Statistics

Communication

Problem Solving

Tools

Tableau

Alteryx

AWS

Azure

Snowflake

scikit-learn

Job description

Fusion92 is seeking a Data Scientist to design and deploy advanced analytical solutions that power marketing decisions and customer insights. This role collaborates with strategy, media, client services, and engineering to translate business challenges into data-driven initiatives.

You will build scalable ML models, maintain data pipelines, and present findings to diverse stakeholders, contributing to growth and innovation across the organization.