Responsibilities

• Navigate a complex, multi-source data environment and creatively identify appropriate datasets and methodologies for ever-changing client questions
• Monitor data quality and maintain data science pipelines for client data assets, including 1PD and 3PD
• Develop, deploy, and maintain ML and AI workflows for identifying and targeting relevant audiences, including propensity/classification models as well as unsupervised clustering/segmentation
• Develop and execute novel methods of analyzing audiences, such as customer profiling, customer journeys, purchase predictions/recommendations, etc.
• Collaborate with strategy teams to translate technical outputs into relevant business insights and recommendations, including client-facing discussions and dashboards
• Collaborate with analytics teams to develop and implement testing frameworks for closed-loop audience measurement
• Develop and implement a test-and-learn roadmap to continuously refine data-driven strategies, enabling rapid optimization
• Contribute to data science team- and practice-building initiatives, e.g. presenting case studies in cross-functional forums, creating collateral around data capabilities, and pursuing internal research projects
• Document and share optimized, reusable code with data science colleagues using Git
• Continuously innovate, staying current with the latest technological developments and applying them to current workflows

Requirements

• 2+ years of data science experience in advertising, marketing, or related fields, with agency experience preferred
• Advanced degree in Statistics, Data Science, or other quantitative fields preferred
• Deep theoretical and practical understanding of statistical/ML techniques and experimental design
• Hands-on experience with granular, disaggregated data, particularly behavioral consumer datasets and/or media logs; engagement with publisher walled gardens (AMC, ADH, etc.) a plus
• Advanced proficiency with SQL for big data analytics and Python for production-ready workflow development
• Experience with Databricks or similar cloud-based big data platforms, e.g. Snowflake, BigQuery, Redshift
• Experience building agentic workflows and integrating AI solutions into existing data and tech stacks

Benefits

• medical coverage
• dental
• vision
• disability
• 401K
• parential and family care leave
• family forming assistance
• tuition reimbursement
• flexible time off