Manager data science media

Company Description

Spark Foundry is a global media agency that exists to bring HEAT - Higher Engagement, Affinity, and Transactions - to brands. By combining flawless media fundamentals with aggressive innovation, Spark inspires consumers to pay more attention, to care more about our clients’ brands, and to buy more products and services from them.

Balancing the nimble spirit of a startup with the powerhouse soul of Publicis Media, Spark Foundry delivers the best of both worlds to a client roster that spans some of the world’s best and most beloved brands and companies. We combine boutique-caliber insights and service with the buying clout and first-look access of a global leader, bringing the heat to challenger brands that want to act like giants, and to giant brands that want to act like challengers.

With a bottom-up culture that celebrates diversity and aims for all voices to be heard, Spark has become a magnet for the industry’s best talent, with one of the best retention rates in the industry. And by applying a whole-person approach to professional and personal development, Spark develops a workforce that is well prepared for today’s challenges, and also poised to create meaningful careers in the years to come.

Because we know that heat arises the intersection of complementary forces, our professionals come from myriad disciplines and backgrounds: data, analytics, and insights, content and creative production, communications and strategy, finance and marketing, and sociology, psychology, and other liberal arts disciplines.

Overview

The Manager, Advanced Analytics, will play a critical role in the creation and execution of custom modeled audiences, overlap analyses, and predictive and addressable audience development. The ideal candidate will have hands-on experience in data management, proficiency in Python scripting and Jupyter Notebook, strong analytical and problem-solving skills, and the ability to communicate complex findings in a clear and impactful way to both technical and non-technical stakeholders.

Responsibilities

• Assist clients in implementing clean room strategies and leveraging new technologies
• Under the guidance of the Associate Director, assist the development and implementation of propensity models using machine learning for net new audiences and audience refreshes
• With the help of the Audience Design team, assist in identifying the attributes for custom audience creation
• Perform QA and troubleshooting on 1P onboarded data to ensure match rate alignment with client systems
• Contribute to the improvement of internal modeling practices for more efficient core hour usage and activation
• Conduct audience analysis on 1P customer segments and collaborate with internal teams to present findings
• Maintain and execute Python scripts to organize data for more streamlined analysis
• Translate technical concepts into actionable strategies for non-technical stakeholders in presentations
• Support the design of statistically sound tests to minimize bias and ensure reliable results
• Contribute to the development and implementation of a test-and-learn roadmap to enhance strategies and drive data-driven decision-making
• Stay informed about evolving media trends, sharing relevant insights with internal and client teams
• Create deliverables aligned with project roadmaps and client expectations
• Provide consultative support to clients on data science deliverables and analytics strategies
• Build presentations to convey the importance, findings, and actionable takeaways from analyses
• Assist the analytics team in audience performance reporting and insights
  
  

Qualifications

• 3-5 years of experience in advertising, marketing, or data science field
  • Media agency experience preferred
• Proficiency in SQL, Python, and statistical modeling techniques
• Familiarity with experimental design, statistical significance, and machine learning concepts
• Understanding digital media buying, KPI development, and programmatic audience buying
• Strong analytical and critical thinking skills with a track record of actionable insights
• Excellent written and verbal communication skills, with the ability to present to both technical and non-technical audiences
• Experience working with cloud-based data services (e.g., AWS, Redshift)
• Quantitative educational background (degree in Statistics, Data Science, or related field nice to have)
• Proven ability to manage deadlines and collaborate within cross-functional teams
  
  

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 [email protected].

Compensation Range: $87,210- $137,195 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 12/11/2025.

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

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