Manager, Data Science

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

Job summary

Zenith is seeking a Manager, Data Science to transform complex media and audience data into actionable insights using SQL and Python. You will partner with Analytics, Strategy, Activation, and Data Science teams to develop scalable analytical solutions and automate recurring processes.

You will build reusable datasets, handle media taxonomies, and present findings to both technical and non-technical audiences while documenting methodologies to support long-term team scalability.

Qualifications

• 3+ years of experience in Analytics, Data Engineering, Marketing Analytics, or a related field.
• Advanced proficiency in SQL and Python.
• Strong experience manipulating, transforming, and analyzing large datasets.
• Experience building automated workflows, reusable analytical tools, and scalable data processes.
• Required experience working with digital media data and media taxonomies.
• Experience with PySpark and cloud-based data environments (Databricks, Snowflake, etc) preferred.
• Strong problem-solving skills and ability to work independently in ambiguous environments.
• Excellent communication and presentation skills.

Responsibilities

• Develop complex SQL and Python-based solutions to prepare, transform, and analyze large media and audience datasets.
• Perform ad hoc analyses to answer business, client, and campaign performance questions.
• Build and maintain reusable datasets that support reporting, analytics, and strategic decision-making.
• Design and automate recurring analytical processes and workflows to improve efficiency and scalability.
• Work extensively with media taxonomies and reporting dimensions including channel, publisher, DSP, creative size, placement, audience, and daypart.
• Identify data quality issues and implement processes to improve consistency and reliability across datasets.
• Collaborate with stakeholders to translate ambiguous business questions into analytical approaches and recommendations.
• Present findings and insights to both technical and non-technical audiences.
• Document analytical methodologies, data definitions, and workflow processes to support long-term team scalability.

Skills

SQL

Python

Data wrangling

PySpark

Databricks

Snowflake

Data visualization

Communication

Tools

Databricks

Snowflake

PySpark

BI tools

Job description

Company description

Zenith is one of Publicis Groupe’s largest media agencies, spanning 95 markets globally with US offices in New York, Burbank, Chicago, Atlanta and Detroit. For more than 30 years, we have been at the forefront of media, helping to evolve and reshape the industry. We are highly regarded as a true agency partner by many high-profile brands for our expertise across numerous categories and wide range of capabilities that are unparalleled in the industry. Clients hire us for our track record of excellence in strategic planning, investment, and measurement. We also have specialist offerings, including content, commerce, multicultural and future-proofed data capabilities.

Overview

What does a successful Manager look like?

The Manager, Data Science is responsible for transforming complex media and audience data into actionable insights through a combination of data wrangling, exploratory analysis, and workflow automation. This role partners closely with Analytics, Strategy, Activation, and Data Science teams to solve business problems, develop scalable analytical solutions, and improve the efficiency of recurring processes. The ideal candidate combines strong technical skills in SQL and Python with deep familiarity with digital media datasets and taxonomies.

Responsibilities

• Develop complex SQL and Python-based solutions to prepare, transform, and analyze large media and audience datasets.
• Perform ad hoc analyses to answer business, client, and campaign performance questions.
• Build and maintain reusable datasets that support reporting, analytics, and strategic decision-making.
• Design and automate recurring analytical processes and workflows to improve efficiency and scalability.
• Work extensively with media taxonomies and reporting dimensions including channel, publisher, DSP, creative size, placement, audience, and daypart.
• Identify data quality issues and implement processes to improve consistency and reliability across datasets.
• Collaborate with stakeholders to translate ambiguous business questions into analytical approaches and recommendations.
• Present findings and insights to both technical and non-technical audiences.
• Document analytical methodologies, data definitions, and workflow processes to support long-term team scalability.

Qualifications

• 3+ years of experience in Analytics, Data Engineering, Marketing Analytics, Media Analytics, or a related field.
• Advanced proficiency in SQL and Python.
• Strong experience manipulating, transforming, and analyzing large datasets.
• Experience building automated workflows, reusable analytical tools, and scalable data processes.
• Required experience working with digital media data and media taxonomies.
• Experience with PySpark and cloud-based data environments (Databricks, Snowflake, etc) preferred.
• Strong problem-solving skills and ability to work independently in ambiguous environments.
• Excellent communication and presentation skills.

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. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and 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.

Veterans Encouraged to Apply.

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. 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 12/12/2026.