Data Science Manager - Media Analytics & Automation

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

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.