Data Scientist

About this role

• **About Fusion92** Fusion92 is a Marketing Transformation Partner built for what's next.
• We help brands solve complex business problems through a connected ecosystem of data, technology, media, and creativity, designed to drive measurable growth at scale.
• Powered by proprietary tools, AI-enabled intelligence, and fearless thinking, we don't just execute marketing, we transform how marketing works.
• Fusion92 operates through hybrid hubs in Chicago and Detroit, with remote teams in Austin, Denver, and across the U.S.
• ** Built by Bold People** Our difference isn't just what we do-it's how we do it and who we do it with.
• Fusion92 is built by people who are relentlessly curious, unafraid to challenge convention, and committed to doing work that matters.
• We bring together strategists, data scientists, technologists, media experts, creatives, consultants, operators, and innovators who thrive at the intersection of insight and execution.
• From launching new products to developing patented innovations and award-winning ideas, we help clients move forward with confidence and precision.
• ** A Culture Designed for Growth** At Fusion92, we believe great work happens when friction is removed and people are trusted to lead.
• Our culture is grounded in values that show up in our work, our decisions and our teams: * Curious - We challenge assumptions and ask better questions * Fearless - We take smart risks and lead through change * Team-Focused - We win together across disciplines and time zones * Leaders at Every Level - Ownership and initiative matter more than titles ** Why Join Us** Fusion92 is for people who want to build, not just belong.
• You'll work on meaningful challenges, collaborate with smart, driven teammates, and have the autonomy to shape how work gets done.
• If you're excited by complexity, motivated by impact, and looking for an environment where curiosity is fueled and leadership is expected, there's a place for you here.
• That's where you come in.
• ** DATA SCIENTIST** **Overview** The Data Scientist designs and delivers advanced analytical solutions that power strategic decision-making across the organization.
• This role transforms complex data into actionable insights, predictive models, and scalable machine learning solutions that drive marketing performance, deepen customer understanding, and improve business outcomes.
• Working cross-functionally with strategy, media, client services, and engineering teams, the Data Scientist translates business challenges into data science initiatives and communicates results clearly to both technical and non-technical stakeholders.
• This role plays a critical part in elevating analytical rigor, innovation, and impact across the organization.
• **What You'll Do** * 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.
• Requirements: **KNOWLEDGE/SKILLS/ATTRIBUTES REQUIRED:** * 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.
• * 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 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.
• **Location:** This role may be based out of our Chicago, Detroit, Denver or Austin hubs.
• We will consider candidates outside these markets but prefer alignment to our core hubs.
• **Equal Opportunity Employer** Fusion92 is proud to be an Equal Opportunity Employer.
• We are committed to building a diverse and inclusive workplace and do not discriminate on the basis of race, color, religion, sex (including pregnancy), gender identity or expression, sexual orientation, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local laws.
• We encourage individuals from all backgrounds to apply and are committed to providing reasonable accommodations throughout the hiring process.
• In compliance with applicable pay transparency laws, the salary range for this role is $65,000 - $90,000, which represents the minimum and maximum base salary we reasonably expect to pay for this position at the time of posting.

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