Data Science Manager

Spark Foundry is hiring a Data Science Manager to support advanced audience development and data and technology enablement for client growth. The role develops data science solutions for audience identification, targeting, engagement, and measurement, and translates technical results into actionable business insights.

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 that can be surfaced in a variety of settings, from client-facing discussions to dashboards
• Collaborate with analytics teams to develop and implement testing frameworks for closed-loop audience measurement
• Implement a test-and-learn agenda to continuously refine data-driven media tactics, enabling rapid optimization
• Proactively identify and pursue opportunities for developing new capabilities, demonstrating end-to-end project ownership from ideation through deployment
• 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
• Deliver timely, accurate outputs aligned with client- and agency-defined best practices

Skills

• 3+ years of data science experience with consumer data
• Degree in Statistics, Data Science, or other quantitative fields
• 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
• Advanced proficiency with SQL for big data analytics and Python for production-ready workflow development
• Experience with Databricks or similar platforms, e.g. Snowflake, BigQuery, Redshift
• Experience building agentic workflows and integrating AI solutions into existing data and tech stacks
• Marketing agency experience
• Engagement with publisher walled gardens (AMC, ADH, etc.)

Benefits

• Medical coverage
• Dental
• Vision
• Disability
• 401K
• Parental and family care leave
• Family forming assistance
• Tuition reimbursement
• Flexible time off
• For regular roles: paid time off

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