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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Science & Analytics - **Company:** Publicis Groupe - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $88,540.0 - **Contract:** Temporary contract - **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Information Engineering, Data Infrastructure, Data Intelligence, Python (Programming Language), Machine Learning, Tensorflow, SQL Databases, Management of Software Versions, Feature Engineering, Pytorch, Scikit Learn, Information Technology, Statistics Packages, Data Management, Machine Learning Operations, Data Pipelines - **Published:** June 3, 2026 - **Apply:** https://www.juju.com/job/00000000gck87m ## About the Role + 5-6+ years of hands-on experience in data science or machine learning roles, with some exposure to team collaboration or informal mentorship. + Degree in Computer Science, Statistics, Mathematics, or a related technical field (MS/PhD preferred, or undergraduate degree with relevant work experience). + Strong proficiency with Python, SQL, and modern ML libraries (e.g., scikit-learn, statsmodels, TensorFlow, PyTorch). + Experience deploying ML solutions into production environments (e.g., via cloud platforms like AWS/GCP). + Experience in digital product development, particularly with web or app platforms, demonstrating an ability to effectively contribute to the lifecycle of digital products. + Strong understanding of experimental design, causal inference, and statistical testing. + Exceptional communication skills with the ability to translate technical work into business impact. ## Description We are seeking a highly skilled and technically proficient **Manager, Data Science** to grow and support our data science team. This individual will be responsible for executing complex modeling efforts, building reliable data pipelines, and delivering high-impact analytical solutions that support business decisions. This role is ideal for a hands-on practitioner with strong expertise in machine learning, statistics, and data infrastructure who is ready to step into a team manager role. Responsibilities + **Team Leadership & Strategy** + Lead and mentor a small team of data scientists and ML engineers + Partner cross-functionally with engineering, product, analytics, and business stakeholders to identify opportunities for data-driven innovation within an agile environment. + Uncover deep insights from data and effectively connect them to user behaviors through compelling storytelling. + **Technical Execution** + Build, deploy, and validate machine learning models and algorithms for prediction, optimization, segmentation, and recommendation. + Design and execute experimentation, statistical modeling, and A/B testing across products and initiatives. + Ensure scalable deployment of ML solutions into production in collaboration with engineering teams. + **Operational Excellence** + Define and uphold best practices in model development, versioning, monitoring, and reproducibility. + Implement frameworks for model governance and performance tracking. + Contribute to building a modern data science stack that supports experimentation, feature engineering, and model lifecycle management. + **Data Infrastructure & Collaboration** + Contribute to the development of robust data pipelines, feature stores, and model-serving architectures. + Advocate for sound data management and partner with data engineering on upstream data quality and infrastructure needs. + **Thought Leadership** + Stay abreast of emerging techniques in AI/ML and evaluate applicability to our business challenges. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Best Companies to Work For in Paris: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/190-best-companies-to-work-for-in-paris-top-25-companies-in-2023) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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)