Senior Data Scientist

Company description Present in over 100 countries and employing nearly 80,000 professionals, Publicis Groupe is the third largest communications group in the world. Publicis Groupe is listed on the Euronext Paris (FR0000130577) and is part of the CAC 40 index. Active across the entire value chain, Publicis Groupe offers its major clients a transversal, unified and fluid model allowing them access to all the Groupe's tools and expertise around the world through the mantra "The Power of One." Overview Publicis Media is seeking a talented and motivated Senior Data Scientist to join our dynamic team. As a Senior Data Scientist, you will work closely with agency teams to onboard and analyze data, provide valuable insights, and contribute to the development of data-driven solutions. This role offers an excellent opportunity for professional growth and learning in a fast-paced agency environment. Responsibilities Utilize Python programming skills to extract, transform, and troubleshoot script implementation. Deploy application containers to AWS. Expert in different types of regressions (e.g. OLS, elastic net, random effects, Bayesian). Apply solid statistical background to design and implement modeling methodologies. Collaborate with clients to understand their data needs and requirements, and assist in the onboarding process. Work in an agency-facing role, interacting directly with teams to understand their objectives and deliver impactful solutions. Apply medium-level knowledge of Marketing Mix Model to perform modeling and analysis. Troubleshoot and address teams' operational challenges, ensuring proper functionality and accurate results. Contribute to the development and enhancement of data-driven solutions, leveraging your expertise to improve processes and methodologies. Stay updated with industry trends and advancements in data science, identifying opportunities to leverage new tools and techniques. Perform other duties as assigned or requested based on the needs of the team and business. Qualifications 7-10 years of practical experience in Python programming, including data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn). Strong statistical background with knowledge of statistical modeling techniques, hypothesis testing, and experimental design. Strong experience with automation of analytic processes and insights. Past experience with insights visualizations and applications. Familiarity with marketing analytics and advertising measurement, ideally including marketing mix modeling and attribution models. Bachelor's or Master's degree in a relevant field (e.g., Data Science, Statistics, Computer Science, Mathematics, or a related discipline). Demonstrated experience working with teams in a professional setting, showcasing excellent communication and interpersonal skills. Ability to troubleshoot and resolve operational challenges. Strong problem-solving skills with the ability to analyze complex data sets and derive actionable insights. Proactive attitude with a keen interest in staying updated with the latest advancements in data science and analytics. Familiarity with cloud computing platforms (e.g., AWS) is a plus. Compensation Range $132,715 - $208,840 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Veterans Encouraged to Apply #LI-MB5 #J-18808-Ljbffr

Created: 2025-02-01