Distinguished Data Scientist providing technical leadership for next - generation AI systems at Walmart. Driving system design and advanced solution development for impactful machine learning applications at scale.
About the role
- Data Scientist at Fusion92 designing and delivering advanced analytical solutions for marketing. Transforming complex data into actionable insights to enhance 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.
Requirements
- 3–5+ 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.
Benefits
- Competitive salary
- Flexible hybrid work arrangements
- Professional development opportunities
- Health insurance
- Paid time off
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