Data Science Manager: Audience & AI for Growth

Publicis Groupe; New York (NY); On-site; USD 89,000 - 142,000; Full time

Benefits offered by this job

Medical coverage

Dental

Vision

Disability

401K

Parental and family care leave

Family forming assistance

Tuition reimbursement

Flexible time off

Job summary

Spark Foundry, part of Publicis Groupe, seeks a Manager of Data Science to design and deliver data-driven solutions that identify, target, engage, and measure audiences with precision and efficiency. This role blends strategic thinking with hands-on work across large datasets, translating client needs into actionable insights and building reusable code and ML workflows.

Collaborate across strategy and analytics teams, stay current with technologies, and drive end-to-end project ownership from

Qualifications

• 3+ years of data science experience with consumer data; marketing agency experience preferred.
• 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; 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 platforms, e.g. Snowflake, BigQuery, Redshift.
• Experience building agentic workflows and integrating AI solutions into existing data and tech stacks.

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

Data science

Audience development

Machine learning

Statistical analysis

Experiment design

Python

SQL

Big data analytics

Education

Bachelor's degree in Statistics, Data Science, or other quantitative fields

Tools

Databricks

Snowflake

BigQuery

Redshift

Job description

Spark Foundry, part of Publicis Groupe, seeks a Manager of Data Science to design and deliver data-driven solutions that identify, target, engage, and measure audiences with precision and efficiency. This role blends strategic thinking with hands-on work across large datasets, translating client needs into actionable insights and building reusable code and ML workflows.

Collaborate across strategy and analytics teams, stay current with technologies, and drive end-to-end project ownership from