At a Glance
- Tasks: Lead operational analytics and support data-driven decision-making in a fast-paced environment.
- Company: Join CJ Affiliate, a leader in Global Affiliate Marketing within Publicis Groupe.
- Benefits: Enjoy competitive salary, career development, and a collaborative team culture.
- Other info: Dynamic role with opportunities for mentorship and cross-functional collaboration.
- Why this job: Make an impact with innovative technology and AI tools in digital advertising.
- Qualifications: 5+ years in analytics, strong Tableau skills, and experience with AI workflows.
The predicted salary is between 59400 - 72600 £ per year.
As part of Publicis Groupe, CJ Affiliate is the leader in Global Affiliate Marketing. We take pride in our innovative technology, comprehensive data solutions and our people. We equip our teams with the tools, training and career development opportunities to provide cutting edge solutions, strategies and support that deliver high quality results for our clients. We work in an energetic, results-oriented, collaborative, team environment that recognises exceptional performance. As we evolve and grow as a business, so do you.
In this Senior Data Scientist role at CJ, you will serve as a senior operational analytics resource supporting internal and client-facing reporting, analytics, and data requests across the business. This role focuses on executional analytics, Jira queue management, scalable reporting solutions, AI-enabled workflows, and operational excellence within a fast-paced digital advertising environment.
You will work across multiple stakeholders and business functions to support ad hoc analysis, reporting requests, data investigations, and e-commerce and digital advertising measurement initiatives, including performance analysis and incrementality-focused requests, while leveraging AI tools and coding agents to improve workflow efficiency, delivery quality, and operational scale.
What you will do:
- Lead operational analytics support across Jira workflows, ad hoc reporting requests, internal stakeholder asks, and client support needs.
- Help manage team bandwidth, queue prioritization, ticket intake, and work allocation while ensuring requests are clearly scoped and actionable.
- Serve as a senior escalation point for analysts by providing guidance on troubleshooting, reporting logic, delivery standards, AI-enabled workflows, and best practices.
- Analyze e-commerce and digital advertising data to support reporting, campaign analysis, operational insights, measurement initiatives, and client-facing requests.
- Partner with account teams, analysts, and cross-functional stakeholders to deliver timely and accurate data solutions.
- Identify recurring request trends and develop scalable reporting and AI-assisted operational solutions while ensuring strong data quality, validation, monitoring, and operational consistency across workflows.
- Build and maintain Tableau dashboards and reporting solutions while utilizing Spark, Databricks, and AI coding agents to support analysis, investigate data issues, and improve workflow efficiency.
What we look for:
- 5+ years of experience in analytics, marketing science, business intelligence, or a related field.
- Strong experience with Tableau and large-scale data environments such as Spark or Databricks.
- Experience utilizing AI coding agents and AI-enabled workflows to improve productivity, operational efficiency, and analytics delivery.
- Strong understanding of e-commerce, digital advertising, and performance marketing principles, including affiliate and partner-based ecosystems.
- Strong analytical, organizational, and problem-solving skills with attention to detail and data accuracy.
- Experience guiding or mentoring analysts and driving operational consistency across a team.
- Strong communication and stakeholder management skills with the ability to translate technical concepts into business-friendly insights.
Preferred:
- Experience with Python, PySpark, or Scala.
- Experience training, tuning, or optimizing AI agents and workflows for analytics, reporting, or client-facing use cases.
- Experience supporting enterprise-level reporting or analytics environments.
- Familiarity with digital advertising measurement methodologies, incrementality analysis, and reporting frameworks.
- Experience working in cross-functional global team environments and improving operational workflows or analytics governance standards.
- Familiarity with marketing analytics and measurement methodologies, including marketing mix modeling (MMM), attribution, and campaign performance frameworks.
Senior Data Scientist employer: Publicis Media
Publicis Media is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. With a strong emphasis on employee growth, we provide comprehensive benefits such as pension plans and private medical cover, ensuring our team members feel valued and supported. Located in a vibrant digital market, this role offers unique opportunities to make a significant impact on global brands while advancing your career in the fast-paced world of e-commerce analytics.
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We think this is how you could land Senior Data Scientist
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We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Publicis Media. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Publicis Media
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
