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: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team that values creativity and operational excellence.
- Why this job: Make an impact by leveraging AI tools and analytics to drive business success.
- Qualifications: 5+ years in analytics with strong skills in Tableau and large-scale data environments.
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.
Responsibilities- 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.
- 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.
- 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: UNAVAILABLE
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 supportive atmosphere that encourages growth and creativity, making CJ a rewarding place to advance your career.
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 data science field, especially those who work in digital advertising. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Tableau dashboards and any AI-enabled workflows you've developed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your analytical problem-solving skills. Be ready to discuss how you've tackled complex data challenges in the past, especially in e-commerce and digital advertising contexts.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes tracking your application a breeze!
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Senior Data Scientist role. Highlight your experience with Tableau, Spark, and AI tools, and don’t forget to showcase your analytical skills and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific experiences that align with the job description, especially around operational analytics and stakeholder management.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can demonstrate their analytical prowess and how they’ve improved workflows or reporting processes.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at UNAVAILABLE
✨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 e-commerce and digital advertising. This will show that you can hit the ground running.
✨Showcase Your Analytical Skills
Prepare examples of how you've tackled complex data problems or improved operational workflows using AI coding agents. Highlight specific instances where your analytical skills led to actionable insights or enhanced reporting solutions.
✨Communicate Like a Pro
Practice explaining technical concepts in simple terms. You’ll need to work with various stakeholders, so being able to translate data findings into business-friendly language is crucial. Think of examples where you've successfully done this before.
✨Be Ready for Scenario Questions
Expect questions about managing Jira workflows and prioritising tasks. Prepare to discuss how you would handle multiple requests from different stakeholders while ensuring quality and efficiency. This will demonstrate your organisational skills and ability to manage team bandwidth effectively.
