Data Scientist

Fusion92

. Design, develop, and deploy predictive models, segmentation frameworks, and machine learning solutions for marketing performance, targeting, and customer analytics .

Posted 10/7/2026full-timeUnited StatesJunior💰 $65,000 - $90,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying predictive models and machine learning solutions, with a strong foundation in SQL and Python for data analysis and manipulation. Proficient in building data pipelines and conducting A/B testing to optimize marketing performance and customer analytics.

Highest-signal resume keywords

SQL ProficiencyPython ProgrammingMachine Learning FrameworksData Pipeline DevelopmentData Visualization Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingData AnalysisMachine LearningStatistical AnalysisExperimental DesignAPI IntegrationData ManipulationModel DeploymentAudience SegmentationAttribution Modeling

Soft Skills

Problem-SolvingAttention to DetailCollaborationCommunication

Tools & Technologies

AWSAzureSnowflakeAlteryxTableauScikit-learnXGBoost

Industry Keywords

Marketing AnalyticsCustomer AnalyticsData Privacy RegulationsEthical Considerations

Tech Stack

Tools & technologies

AWSAzureCloudPythonScikit-LearnSQLTableau

About the role

Key responsibilities & impact

Design, develop, and deploy predictive models, segmentation frameworks, and machine learning solutions for marketing performance, targeting, and customer analytics
Analyze large, complex datasets to uncover insights for strategic and tactical business decisions
Build and maintain robust data pipelines for clean, reliable, well-structured data
Ensure model integrity and performance through validation, QA, documentation, and ongoing monitoring
Design and execute A/B and multivariate experiments to evaluate campaign effectiveness and optimize outcomes
Partner with strategy, media, client services, and engineering teams on scalable, data-driven solutions
Present findings and recommendations through storytelling, visualizations, and executive-ready materials
Contribute through collaboration, peer review, knowledge sharing, and cross-training
Stay current with data science tools, techniques, and best practices

Requirements

What you’ll need

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 such as scikit-learn and XGBoost
Experience with cloud/data platforms such as AWS, Azure, and Snowflake
Strong foundation in statistics, experimental design, and computer science principles
Experience building and deploying models in production environments
Familiarity with marketing use cases such as audience segmentation, attribution modeling, audience creation, and trade area analysis
Experience with Alteryx is a strong plus
Experience with visualization tools such as Tableau or similar BI tools is a plus
Strong problem-solving skills, attention to detail, and ability to work independently and collaboratively
Excellent communication skills with ability to simplify complex analyses for diverse audiences
Understanding of data privacy regulations and ethical considerations in modeling

Benefits

Comp & perks

Additional compensation, including bonuses and benefits
Reasonable accommodations throughout the hiring process
Hybrid hubs in Chicago and Detroit, with remote teams in Austin, Denver, and across the U.S.