Manager, Data Science

Publicis Groupe; New York (NY); Hybrid; 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

Company description

Spark Foundry was built during the most transformative time in the history of advertising and marketing. We deliver everything a traditional media agency has to offer and have grown into one of the world’s most successful agencies by helping brands evolve their marketing by leveraging identity, commerce, artificial intelligence, and more to connect with people. Transformation is part of our DNA. Spark Foundry’s start‑up spirit delivers high‑touch approaches and a never‑ending desire to challenge the status quo. Combined with Publicis Media’s powerhouse soul leveraging connected data assets, advanced AI applications, and investment clout, we “Bring HEAT to Brands.” No other agency possesses the expertise that we do to address today’s most pressing challenges to drive business transformation through media.

Overview

The Manager of Data Science is responsible for supporting advanced audience development and data and technology enablement to drive client growth. This role is both strategic and hands‑on, working with large individual‑ and transaction‑level datasets to design and deliver best‑in‑class data science solutions that enable clients to identify, target, engage, and measure audiences with precision and efficiency. The data scientist must be able to translate across technical and non‑technical stakeholders in both directions: from client requirements to innovative data science solutions, and from quantitative results to business‑relevant, actionable 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

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

Additional information

Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive.

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

If you require accommodation or assistance with the application or onboarding process specifically, please contact [e-mail].

All your information will be kept confidential according to EEO guidelines.

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Compensation Range: USD $88,540.00 - USD $141,687.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third‑party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 8/29/2026.