Senior Data Scientist

hace 3 días

Madrid, Madrid, España Basf Digital Solutions A tiempo completo

About Us
BASF Digital Hub Madrid is a hub for innovation and growth, where we develop digital solutions for BASF and create new customer experiences. We believe in creativity, trial and error, and great people working together. Our team is diverse and inclusive, and we offer equal opportunities for growth and development.

Job Description
We are looking for a Senior Data Scientist to join our team. As a Senior Data Scientist, you will be responsible for the entire data science model lifecycle, including data analysis, model development and training, and cloud deployment. You will work closely with our business partners to provide insights from data that support better and faster business decisions. You will also support data projects from ideation to commissioning and provide ongoing service and support during runtime. Additionally, you will support and lead junior data scientists in the team.

Responsibilities
- Design, develop and implement machine learning algorithms and data pipelines from ideation to prototyping and deployment.
- Analyse complex datasets to extract meaningful insights for data-driven decision making.
- Collaborate with a talented team of data scientists, engineers and product managers in a fast-paced environment.
- Implement systems with Generative AI and emerging architectures like Retrieval-Augmented Generation (RAG).
- Participate in technical discussions and presentations to clearly communicate complex data science concepts.
- Stay up to date with the latest advancements in AI, Data Science, and related technologies, and proactively apply them to enhance the effectiveness of your solutions.
- Contribute to the development and enhancement of the Analytics & AI Community at BASF, sharing knowledge and insights with colleagues.

Qualifications
- PhD in Computer Science, Statistics, Mathematics, Data Science or a related field with at least 3 years industrial work experience as a Data Scientist.
- Master in Computer Science, Statistics, Mathematics, Data Science or a related field with at least 5 years industrial work experience as a Data Scientist.
- Proficiency in programming languages such as Python (R is a plus) and frameworks like PyTorch, Tensorflow, Scikit-Learn.
- Experience in deep learning architectures such as Auto Encoders, CNN, GANs, Transformers.
- Demonstrated experience working with cloud platforms (Microsoft Azure, Databricks, etc.) and container technologies (Kubernetes, Docker, etc.).
- Strong expertise in Large Language Models (LLMs) and Retrieval Augmented Generation (RAG).
- Strong expertise in predictive analytics and time series forecasting.
- Strong analytical, problem-solving and strategic planning skills with a passion for leveraging data to drive innovation and business growth.
- Strong communication and collaboration skills

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