Senior Data Scientist

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USA TODAY Network

WebsiteLinkedInAll Job Openings

201 - 500 employees

📱 Media

📣 Marketing

🤝 B2B

Media • Marketing • B2B

USA TODAY Network is the national media and advertising arm of USA TODAY Co. , operating a large portfolio of local and national publications and offering a full suite of advertising and marketing solutions. It provides digital and print display advertising, direct mail, branded content, performance marketing, video, SEO, merchandising, and self-serve marketplace services, backed by data-driven technology, creative services, events and an AI-powered platform. The Network emphasizes local advertising reach supported by national scale and serves businesses across automotive, travel, finance, education, home improvement and other verticals.

📋 Description

• Partner with Product Managers, Engineers, and cross-functional stakeholders to answer strategic product questions through reporting, analysis, deep dives, and predictive or prescriptive modeling • Forecast business outcomes and identify opportunities to improve product performance • Define, maintain, and improve key product metrics, dashboards, and monitoring frameworks used to assess product performance and business impact • Apply machine learning techniques to customer behavior, engagement, retention, churn, propensity scoring, segmentation, recommendation systems, and personalization initiatives • Evaluate product launches, feature changes, and AI-enabled initiatives by measuring outcomes against success metrics and communicating clear recommendations • Support experimentation and measurement design, including hypothesis development, test readouts, and post-launch evaluations where applicable • Build scalable modeling, reporting, and self-service analytics assets that improve decision-making speed and consistency across the product organization • Partner with data engineering and platform teams to improve data quality, instrumentation, metric definitions, and the reliability of reporting pipelines • Translate complex findings into concise narratives, presentations, and recommendations for technical and non-technical stakeholders • Support AI data initiatives by helping build, evaluate models, measure features, and build analytics frameworks that assess customer and business impact

🎯 Requirements

• Bachelor's degree in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, Engineering, or a related discipline • 5+ years of experience in data science, product analytics, decision science, or a closely related analytics role supporting product teams • Strong SQL skills • Proficiency in Python for data analysis, statistical modeling, predictive modeling, and data exploration • Experience with PyTorch, scikit-learn, and other machine learning frameworks for building, evaluating, and deploying models • Familiarity with feature engineering, model selection, cross-validation, hyperparameter tuning, and performance evaluation • Experience developing dashboards and visualizations that support executive reporting and day-to-day product decisions • Strong understanding of product metrics, experimentation, hypothesis testing, and statistical analysis • Experience working with large, messy, and multi-source datasets to produce actionable recommendations • Excellent communication skills, with the ability to explain technical findings in plain language and influence stakeholders through data • Experience supporting AI or ML-related product initiatives, model evaluations, or measurement frameworks is preferred • Experience in media, ad tech, mar tech, digital subscriptions, marketplaces, or other product-led businesses is preferred • Experience in cloud data environments and product instrumentation best practices is preferred • Experience working in highly cross-functional environments where priorities shift quickly, and decision support is critical is preferred