Associate Director, Data Science

Starcom Mediavest Group Germany Gmbh

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

Qualifications

  • 6-8 years of experience in advertising, marketing, or data science, preferably with agency experience
  • Quantitative educational background, ideally with an advanced degree in Statistics or Data Science
  • Experience with audience design tools like Habu, LiveRamp, EPC, and Snowflake cleanroom
  • Advanced skills in SQL, Python, and statistical modeling techniques such as logistic regression and clustering
  • Familiarity with cloud services like AWS and large-scale data management environments
  • Strong understanding of digital media buying and programmatic audience buying
  • Exceptional communication skills, capable of translating complex data concepts to non-technical audiences

Responsibilities

  • Guide clients in employing cutting-edge clean room technology
  • Oversee the development of machine learning propensity models for audience targeting
  • Perform quality assurance on onboarded data to ensure compatibility with client systems
  • Advance internal modeling practices to streamline processes and improve activation efficiency
  • Conduct audience analyses and present actionable insights to internal teams
  • Design statistically sound tests to yield unbiased results and useful outcomes
  • Create impactful presentations highlighting analysis insights and recommended strategies

Benefits

  • Medical, dental, and vision coverage
  • Disability insurance
  • 401(k) plan options
  • Parental and family care leave
  • Family forming assistance
  • Tuition reimbursement
  • Flexible time off
Full Job Description
Job Description

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

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.

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