Data Scientist

Om jobbet

Company description
Publicis Groupe is one of the largest communications groups in the world. We are building the agency model of the future and take a holistic approach to our clients' challenges. By fusing together our media, creative, data and technology expertise, we are able to provide clients with integrated solutions, transformative ideas and compelling consumer experiences. We call it the Power of One. We are proud winner of many awards and nominations, both in Sweden and internationally. But nothing makes us prouder than to work with clients and brands such as Disney, Elgiganten, Mondelez, Volvo, VISA, Lantmännen, Nomad Foods, Lactalis, Midsona, Renault and many more. At Publicis, we put our people first. We are proud to be certified by Great Place to Work (2022, 2023, 2024), and have been recognized with a Magnet Award for our engaging culture (2023). Our goal is to become the leading workplace in our industry. We are based in a fantastic office in Odenplan, but also offer a flexible work policy.

Overview
Join Publicis Intelligence - a dedicated team of specialists in data, technology, insights, and analytics! At Publicis Intelligence, we are looking for a talented Data Scientist to become part of our team and help drive business results for our clients. As a Data Scientist, you will play a central role in leveraging data to uncover actionable insights and develop models that enhance our marketing campaigns. You will collaborate closely with client teams and other marketing experts to identify growth opportunities, optimize performance, and deliver measurable results. Responsibilities: Data Analysis: Conduct in-depth analysis of large datasets to identify patterns, trends, and correlations relevant to marketing objectives. Model Development: Build and deploy models and algorithms to forecast customer behavior, optimize campaign targeting, and measure marketing effectiveness. Testing and Evaluation: Design and execute A/B testing and other experiments to continuously refine marketing strategies. Collaboration: Work closely with all team members to translate business questions into data-driven solutions. Client Relations: Build strong, trusted relationships with key clients. Stay Updated: Stay current with the latest advancements in data science, machine learning, and marketing technology.

Qualifications
Bachelor's degree in Statistics, Mathematics, Economics, Marketing, or a related field. Experience with cloud platforms (GCP and/or Azure). Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R). Knowledge of machine learning algorithms. Understanding of statistical concepts. Familiarity with digital media concepts and metrics. Excellent analytical and problem-solving skills. Strong communication and interpersonal skills.