PUBLICIS GROUPE-posted about 2 months ago
$87,210 - $115,000/Yr
Full-time • Mid Level
Hybrid • Santa Barbara, CA
5,001-10,000 employees
Professional, Scientific, and Technical Services

In this client-facing Data Scientist 2 role at CJ, you will support and lead advanced analysis projects for individual clients and internal collaborators within the Data Science organization. You will take ownership of complex projects end-to-end, ensuring data accuracy while delivering actionable insights that drive advertising program growth across e-commerce, travel, and finance verticals. Collaborating with cross-functional teams, you will interact directly with clients to translate business needs into impactful data science solutions. You'll tap into your expertise in PySpark, Scala, Tableau, advanced measurement (incrementality, MMM, lift testing), and modern AI/ML techniques-including large language models (LLMs)-to develop, visualize, and communicate analyses that enable data-driven decision-making in a dynamic digital advertising landscape.

  • Lead and support advanced client-facing data science and analytics projects, including forecasting, incrementality measurement, and program optimization.
  • Take ownership of project scoping, data querying and modeling, quality checks, and delivery of actionable insights.
  • Analyze large-scale e-commerce and advertising datasets, demonstrating statistical and ML methods to uncover opportunities and support growth strategies.
  • Design and interpret incrementality tests, marketing mix models (MMM), and lift tests to assess causal impact and optimize marketing spend.
  • Build machine learning models, such as forecasting and inferential analysis, and implement solutions about LLM when relevant.
  • Create and deliver Tableau dashboards and reporting that distill complex analysis into clear, actionable insights for both internal and external stakeholders.
  • Collaborate with account teams, engineers, and other data scientists to design and implement scalable data solutions.
  • Present technical findings and recommendations to non-technical audiences, demonstrating strong client-facing and communication skills.
  • 3-5 years of professional experience in Data Science and Analytics.
  • 2+ years of hands-on experience with PySpark, Scala, and Tableau.
  • Must have Ad Tech / MarTech industry experience, specifically in e-commerce, travel, and finance.
  • Strong client-facing experience, including presentations and solution delivery.
  • Proven ability to deliver scalable data solutions and actionable insights in digital advertising or affiliate marketing.
  • Proficiency with GitLab or GitHub for version control and collaborative development.
  • Experience developing alongside LLM code assistants (e.g., Copilot, Claude, Codex).
  • Experience with incrementality testing, MMM, and lift test design and analysis.
  • Strong communication skills with the ability to simplify and explain complex technical results to non-technical collaborators.
  • Experience implementing LLMs into business workflows, including training, fine-tuning, and manipulation for applied use cases.
  • Flexible time off without the hassle of accrual
  • A generous number of paid holidays
  • Company-sponsored team-building events
  • An Employee Referral Program
  • Annual recognition awards
  • Hybrid work arrangements for optimal work-life balance
  • Parental bonding leave
  • Backup care options for children and elders
  • An employee discount program
  • International SOS program for global support
  • Business Resource Groups, where employees connect over shared interests to cultivate an engaging, inclusive environment
  • competitive salaries
  • 401K matching
  • wellness programs
  • comprehensive medical, dental, and vision coverage
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