Full job description Yield Data Scientist Job Description We are seeking a Data Scientist with strong analytical and technical expertise to drive optimizations across our Publisher network. You will leverage complex datasets, machine learning methods, and statistical modeling to identify optimization opportunities, improve bidding efficiency and deliver actionable insights. This role is ideal for a curious, detail-oriented problem solver who thrives in a fast-paced, data-rich environment. Responsibilities: Analyze large-scale eventstream and auction data to uncover trends, anomalies, and optimization opportunities. Design, test, and implement data-driven strategies for improving publisher yield, bidding dynamics, and revenue outcomes. Build and maintain monitoring and alerting for performance and diagnostic issues. Lead automating systems and data processes. Support A/B testing frameworks as needed. Develop predictive models and algorithms to forecast key metrics. Translate complex analyses into clear, actionable insights for technical and non-technical stakeholders. Collaborate cross-functionally with Engineering, Product, Business Intelligence, Yield Management, and Customer Success teams. Conduct root cause analyses for data quality, ad-serving, or system issues, ensuring data integrity and reliable reporting. Stay current on industry innovations and apply advanced analytics or machine learning techniques to test new monetization strategies. Requirements: Bachelor's degree (or relevant work experience) in Data Science, Mathematics, Economics, Statistics, Business Analytics, or a related quantitative field. Must have minimum 2 years of experience in adtech; with at least 2 years in an analytical or data science role Strong knowledge of adtech ecosystems, including header bidding, SSPs, DSPs, GAM, Identity Providers Deep familiarity with yield levers such as floors, caching, timeouts, auction dynamics Advanced skills in Excel and Google Sheets. Expert in SQL and experience with large scale data processing such as BiqQuery. Familiarity with data visualization tools (e.g., Tableau, Looker, or similar) and ability to tell compelling stories with data. Strong communication skills for translating complex technical findings into actionable recommendations. Experience designing and analyzing A/B tests; familiarity with machine learning techniques and LLMs is a plus. Highly organized, proactive, and adaptable to a fast-changing industry landscape. What you can expect in return: Full-Time, Salaried Position The opportunity to be part of something BIG Freestar is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. This role is not eligible for visa sponsorship