Data Science - Manager - Consumer Products

Job Description

As a Manager Data Science, you design and implement AI and machine learning solutions to generate business insights and support innovation for clients. You build and maintain scalable data pipelines, work with complex data sets, and develop and deploy predictive models. You collaborate with cross-functional teams to deliver scalable, data-driven solutions with measurable impact.

Responsibilities

• Design and implement AI and machine learning solutions across the full lifecycle, from problem definition through to deployment, ensuring alignment with business objectives.
• Design, build, and optimize data pipelines and ETL workflows to ensure reliable, production-grade data availability for analytics and ML workloads.
• Develop advanced machine learning models, predictive analytics solutions, and AI-driven approaches to address complex business challenges.
• Collaborate with cross-functional teams to integrate AI capabilities into digital products and services.
• Evaluate and apply emerging AI technologies and methodologies to deliver innovative and future-ready data science solutions at Publicis Sapient.
• Ensure adherence to best practices in data governance, model deployment, and AI ethics to support responsible and compliant AI adoption.
• Engage with stakeholders to communicate the value of AI and machine learning, enabling informed, data-driven decision-making.
• Support and mentor team members, contributing to knowledge sharing and fostering a culture of continuous learning and innovation.

Qualifications

• Strong professional experience in AI, machine learning, and data engineering, with a proven track record of delivering AI-driven solutions
• Expertise in machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, as well as experience with cloud-based AI platforms (e.g., AWS, GCP, Azure).
• Experience in developing and deploying AI models, including natural language processing (NLP), computer vision, and deep learning techniques.
• Solid understanding of MLOps practices, including model deployment, monitoring, and lifecycle management, as well as AI governance frameworks.
• Strong knowledge of AI ethics, fairness, and interpretability, ensuring responsible and compliant AI implementation.
• Excellent analytical and stakeholder management skills, with the ability to communicate effectively across both business and technical audiences.
• Proficiency in German and English at a business fluent level (C1/C2).

Set Yourself Apart With

• Advanced academic degree (e.g., Master’s or PhD) in computer science, engineering, or a related field.
• Strong understanding of data engineering concepts, including data pipelines and big data technologies such as Spark, Hadoop, SQL, and NoSQL.
• Experience in AI-driven product development and digital transformation initiatives.
• Relevant certifications in AI, machine learning, or cloud computing (e.g., AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer).

Additional Information

• An inclusive workplace that promotes diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.