Data Scientist

As a Python Team Lead with 814 years of experience, you will play a crucial role in driving research and development initiatives for next-generation software solutions at Atos. Your responsibilities will include leading a small team of engineers, building prototypes, and experimenting with new technologies such as AI/ML, Generative AI, cloud-native architectures, and data-driven automation. This hands-on leadership position will require you to contribute to coding, design, and innovation while mentoring the team and shaping technical direction. **Key Responsibilities:** - **Team Leadership:** Lead and mentor a team of Python developers, guiding them in R&D projects and ensuring high-quality deliverables. - **Hands-On Development:** Design and implement Python-based solutions, frameworks, and prototypes for advanced use cases like AI/ML integration, automation, and productivity tools. - **R&D Prototyping:** Build proof-of-concepts and experimental systems using modern Python libraries, AI frameworks, and cloud services. - **Innovation:** Explore emerging technologies such as Generative AI, LangChain, LLM APIs, and data pipelines to evaluate their applicability to business and developer workflows. - **Architecture & Design:** Define scalable, modular, and maintainable designs for experimental solutions and transition prototypes toward production readiness. - **Collaboration:** Work closely with product managers, architects, and researchers to convert innovative ideas into working solutions. - **Agile Delivery:** Manage sprint planning, backlog prioritization, and ensure the team follows agile best practices. - **Knowledge Sharing:** Document learnings, present findings, and promote a culture of innovation across the team. **Skills & Qualifications:** - Strong Python expertise, with experience across frameworks like FastAPI, Flask, Django, or asyncio. - Experience in AI/ML, Generative AI, or data engineering (e.g., AutoGen, TensorFlow, PyTorch, HuggingFace, LangChain) is highly desirable. - Background in building R&D prototypes, proof-of-concepts, or innovation-focused solutions. - Strong knowledge of software architecture, design patterns, and scalable system design. - Hands-on experience with cloud platforms (AWS, Azure, GCP) and DevOps practices (CI/CD, Docker, Kubernetes). - Solid understanding of APIs, microservices, and integration patterns. - Excellent problem-solving skills with a research mindset and ability to work in ambiguous environments. - Leadership skills with prior experience mentoring or leading small engineering teams. - Strong communication skills and ability to work cross-functionally in an agile environment. At Atos, diversity and inclusion are core values, and the company is a recognized leader in the industry across Environment, Social, and Governance (ESG) criteria. Join Atos to be part of a team that is committed to creating a fair work environment for all. As a Python Team Lead with 814 years of experience, you will play a crucial role in driving research and development initiatives for next-generation software solutions at Atos. Your responsibilities will include leading a small team of engineers, building prototypes, and experimenting with new technologies such as AI/ML, Generative AI, cloud-native architectures, and data-driven automation. This hands-on leadership position will require you to contribute to coding, design, and innovation while mentoring the team and shaping technical direction. **Key Responsibilities:** - **Team Leadership:** Lead and mentor a team of Python developers, guiding them in R&D projects and ensuring high-quality deliverables. - **Hands-On Development:** Design and implement Python-based solutions, frameworks, and prototypes for advanced use cases like AI/ML integration, automation, and productivity tools. - **R&D Prototyping:** Build proof-of-concepts and experimental systems using modern Python libraries, AI frameworks, and cloud services. - **Innovation:** Explore emerging technologies such as Generative AI, LangChain, LLM APIs, and data pipelines to evaluate their applicability to business and developer workflows. - **Architecture & Design:** Define scalable, modular, and maintainable designs for experimental solutions and transition prototypes toward production readiness. - **Collaboration:** Work closely with product managers, architects, and researchers to convert innovative ideas into working solutions. - **Agile Delivery:** Manage sprint planning, backlog prioritization, and ensure the team follows agile best practices. - **Knowledge Sharing:** Document learnings, present findings, and promote a culture of innovation across the team. **Skills & Qualifications:** - Strong Python expertise, with experience across frameworks like FastAPI, Flask, Django, or asyncio. - Experience in AI/ML, Generative AI, or data engineering (e.g., AutoGen, TensorFlow, PyTorch, HuggingFace, LangChain) is highly desirable. - Background in building R&D prototypes