Note: The job is a remote job and is open to candidates in USA. Fusion92 is hiring a Data Scientist to design and deliver analytical solutions that support strategic decision-making. The role develops predictive models and machine learning solutions, analyzes data, and communicates actionable insights to improve marketing performance, customer understanding, and business outcomes.

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, and well-structured data for analysis and modeling
• Ensure model integrity and performance through validation, QA processes, documentation, and ongoing monitoring
• Design and execute experiments (including A/B and multivariate tests) to evaluate campaign effectiveness and optimize outcomes
• Partner with strategy, media, and client services teams to translate business needs into scalable, data-driven solutions
• Present findings and recommendations through clear storytelling, visualizations, and executive-ready materials
• Contribute to team development through collaboration, peer review, knowledge sharing, and cross-training
• Stay current with emerging data science tools, techniques, and best practices, helping evolve the team’s capabilities and standards

Skills

• 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 (e.g., scikit-learn, XGBoost) and cloud/data platforms (e.g., AWS, Azure, 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
• Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively
• Excellent communication skills with the ability to simplify complex analyses for diverse audiences
• Understanding of data privacy regulations and ethical considerations in modeling
• Experience with Alteryx
• Experience with visualization tools such as Tableau (or similar BI tools)

Benefits

• Hybrid work arrangement, with hybrid hubs in Chicago and Detroit and remote teams in Austin, Denver, and across the U.S.
• Autonomy to shape how work gets done.
• This role may also be eligible for bonuses and benefits.

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