> Markdown version of [/jobs/ext/1283482-data-scientist-ii](https://www.wearedevelopers.com/jobs/ext/1283482-data-scientist-ii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist II - **Company:** Publicis Groupe - **Location:** Chicago, IL, United States - **Experience:** Experienced - **Salary:** $120,064.0 - $135,632.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Program Optimization, Database Queries, Github, Machine Learning, Scala (Programming Language), Tableau (Software), Large Language Models, Gitlab, Pyspark, Data Analytics, Data Pipelines - **Published:** July 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=cab40aeb52a009f5 ## About the Role * 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). * Preferred: Experience implementing LLMs into business workflows, including training, fine-tuning, and manipulation for applied use cases. * 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 stakeholders. ## Description Must have Ad Tech / MarTech industry experience, specifically in e-commerce, travel, and finance. In this client-facing Data Scientist role at CJ, you will serve as a dedicated analytics partner to a large enterprise client, delivering data-driven insights and advanced analytical solutions in a digital advertising environment. You will own end-to-end projects that support campaign performance, measurement, and optimization, helping drive growth through high-quality data, clear reporting, and actionable recommendations. You will work closely with client stakeholders, account teams, and cross-functional partners to translate business needs into scalable data solutions. This role is ideal for someone who thrives in a fast-paced, client-facing environment and enjoys combining technical expertise with strategic problem-solving to influence marketing outcomes. What you will do: * Lead and support advanced client-facing data science and analytics projects, including forecasting, incrementality measurement, and program optimization. * Act as a strategic partner to account teams, proactively identifying opportunities, shaping measurement strategies, and influencing decision-making. * Apply hypothesis-driven analysis to diagnose performance and quantify impact. * Take ownership of project scoping, data querying and modeling, quality checks, and delivery of actionable insights. * Analyze large-scale e-commerce and advertising datasets, leveraging 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. * Develop machine learning models, including forecasting and inferential analysis, and implement LLM-driven solutions where applicable. * 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. * Present complex analytical concepts in intuitive ways tailored to varying levels of stakeholder sophistication. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Enabling automated 1-click customer deployments with built-in quality and security](https://www.wearedevelopers.com/videos/83-enabling-automated-1-click-customer-deployments-with-built-in-quality-and-security) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)