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Publicis Groupe
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July 20, 2026
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Data Scientist

Chicago, IL
Full-time
Onsite
$111K/yr - $159K/yr
Entry Level
Publicis Groupe is a global communications planning and media leader. The Data Scientist will play a hands-on role in creating, testing, and scaling analytics solutions, partnering with internal teams to transform client growth opportunities into actionable data science outputs.
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Responsibilities

  • Design and develop analytics applications and solutions using Python, SQL, and PySpark in Databricks
  • Build, refine and prototype new approaches to campaign-specific audience development in partnership with Strategists and Consumer Insights teams
  • Perform quality assurance checks to validate audience definitions, confirm audience sizes, and ensure delivery readiness
  • Push approved audiences from Databricks into downstream environments, enabling non-technical teams to activate audiences seamlessly
  • Collaborate with media, marketing, and strategy teams to rethink growth opportunities and translate them into scalable, data-driven solutions
  • Explore and apply statistical and machine learning methods under the guidance of senior data scientists (e.g., regression, classification, clustering, forecasting)
  • Identify opportunities to automate processes and improve workflows across analytics and audience development
  • Document audience logic, data sources, and methodologies to ensure clarity, repeatability and scalability
  • Pilot and test emerging techniques, sharing learnings and recommendations with the broader analytics team
  • Support integration of data science outputs into dashboards, pipelines, and reporting platforms
  • Communicate findings and insights clearly, bridging the gap between technical and non-technical partners

Qualification

Required

  • 1–2 years of applied data science experience
  • Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Economics) or equivalent experience
  • 1–2 years of applied experience in data science, analytics, or a related field
  • Proficiency in Python (Pandas, NumPy, SciPy, Scikit-learn, Matplotlib/Plotly) and SQL
  • Exposure to PySpark and distributed data processing
  • Basic understanding of statistical modeling and machine learning techniques (regression, classification, clustering, forecasting)
  • Strong attention to detail and ability to perform data QA
  • Ability to work in collaboration with technical and non-technical team members

Preferred

  • Familiarity with Databricks or other cloud-based analytics platforms
  • Interest in media, advertising, or marketing analytics
  • Familiarity with data visualization tools (e.g., Tableau, PowerBI)

Benefit

  • Paid Family Care for parents and caregivers for 12 weeks or more
  • Monetary assistance and support for Adoption, Surrogacy and Fertility
  • Monetary assistance and support for pet adoption
  • Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance
  • Tuition Assistance
  • Paid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more
  • Matching Gifts programs
  • Flexible working arrangements
  • 'Work Your World’ Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility)
  • Business Resource Groups that support multiple affinities and alliances
  • 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
Publicis Groupe is a digital and interactive communication services provider.
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Founded in 1926
Paris, Ile-de-France, FRA
10001+ employees
https://www.publicisgroupe.com