Saatchi & Saatchi

Associate Director, Data Science

Saatchi & Saatchi$112K — $179K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6-8 years in advertising, marketing, or data science, agency experience preferred
  • Quantitative background, preferably with an advanced degree in Statistics/Data Science
  • Proficient in Habu, LiveRamp, EPC, Snowflake cleanroom for audience design
  • Advanced SQL and Python skills with statistical modeling experience
  • Familiarity with cloud services like AWS and data management
  • Strong understanding of digital media buying and programmatic audience buying
  • Excellent client management and communication skills, able to solve complex data challenges

Responsibilities

  • Guide clients in clean room strategy and technology enablement
  • Oversee propensity model development using machine learning
  • Troubleshoot and QA 1P onboarded data for match rates
  • Optimize internal modeling practices for efficiency
  • Conduct audience analyses and present actionable insights
  • Develop sound test designs to minimize bias
  • Stay informed on media landscapes to provide insights
  • Create impactful presentations to communicate data findings
  • Drive revenue growth through cross-selling data science products
  • Manage deliverables against detailed roadmaps
  • Provide consultative support for data science outputs

Benefits

  • Medical coverage
  • Dental and vision insurance
  • Disability insurance
  • 401K savings plan
  • Parental and family care leave
  • Tuition reimbursement
  • Flexible time off program
Full Job Description
Overview

The Associate Director of Data Science is responsible for leading 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, including client-facing discussions and dashboards


  • Collaborate with analytics teams to develop and implement testing frameworks for closed-loop audience measurement


  • Develop and implement a test-and-learn roadmap to continuously refine data-driven strategies, enabling rapid optimization


  • 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


  • Independently set, communicate, and deliver against realistic expectations and timelines


  • Guide the development of client data strategy and promote the adoption of data-driven processes across planning, activation, and measurement


  • Proactively identify and pursue new use cases and opportunities to use data science capabilities to solve client challenges


Qualifications

  • 4+ years of data science experience in advertising, marketing, or related fields, with agency experience preferred


  • Advanced degree in Statistics, Data Science, or other quantitative fields preferred


  • 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 cloud-based big data 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. 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.

Compensation Range: USD $112,290.00 - USD $179,712.00/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 10/7/2026.

About Saatchi & Saatchi

Saatchi & Saatchi is a global advertising agency headquartered in New York City. The company was founded in London in 1970 by brothers Maurice and Charles Saatchi and is now part of the Publicis Groupe, a French multinational advertising and public relations company. Saatchi & Saatchi has over 6,000 employees in 114 countries and provides a range of advertising and marketing services to clients in various industries, including automotive, consumer goods, financial services, and telecommunications. The company is known for its creative and innovative advertising campaigns, including the iconic 'Nothing is Impossible' campaign for Toyota. Saatchi & Saatchi has won numerous awards for its work, including Cannes Lions, Clios, and Effies.
Learn more about Saatchi & Saatchi
Size
6,000 employees
Industry

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