At a Glance
- Tasks: Lead operational analytics and support data-driven decision-making in a fast-paced digital advertising environment.
- Company: Join CJ, a leader in digital advertising with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with opportunities to mentor and guide fellow analysts.
- Why this job: Make an impact by leveraging AI tools and analytics to drive business success.
- Qualifications: 5+ years in analytics, strong Tableau skills, and experience with AI workflows.
The predicted salary is between 60000 - 80000 £ per year.
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: Publicisgroupe
At CJ, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Senior Data Scientist, you will have the opportunity to work in a fast-paced digital advertising environment, where your contributions directly impact our clients' success. We offer comprehensive benefits, continuous professional development, and a commitment to leveraging cutting-edge AI tools, ensuring that you grow alongside the company while enjoying a supportive and dynamic team atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Scientist role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding the latest trends in e-commerce and digital advertising. We recommend practising common data science scenarios and being ready to showcase your experience with tools like Tableau and AI coding agents.
✨Tip Number 3
Don’t forget to tailor your approach! When you’re applying through our website, make sure to highlight your relevant experience and how it aligns with the job description. We want to see how you can bring value to the team right from the get-go.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. We love seeing candidates who are proactive and genuinely interested in the role, so don’t hesitate to express your enthusiasm!
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with analytics, AI tools, and any relevant projects that showcase your skills in e-commerce and digital advertising.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've led operational analytics or improved workflows in previous positions, and don’t forget to mention your passion for data!
Showcase Your Technical Skills:We want to see your technical prowess! Be sure to include your experience with Tableau, Spark, Databricks, and any programming languages like Python or Scala. This will help us understand your capabilities right off the bat.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Publicisgroupe
✨Know Your Tools Inside Out
Make sure you’re well-versed in Tableau, Spark, and Databricks. Be ready to discuss how you've used these tools in past projects, especially in relation to operational analytics and reporting. It’s a great way to show your hands-on experience and technical prowess.
✨Showcase Your Analytical Skills
Prepare to talk about specific examples where you’ve analysed e-commerce or digital advertising data. Highlight any performance analysis or incrementality-focused requests you’ve handled. This will demonstrate your ability to translate complex data into actionable insights.
✨Communicate Clearly
Practice explaining technical concepts in a way that’s easy for non-technical stakeholders to understand. This is crucial since the role involves working with various teams. Use examples from your past experiences to illustrate how you’ve successfully communicated insights.
✨Be Ready for Scenario Questions
Expect questions that assess your problem-solving skills and how you manage workflows. Think of scenarios where you had to prioritise tasks or mentor junior analysts. This will help you showcase your leadership abilities and operational consistency.
