
Senior AI Data Scientist
- Las Rozas de Madrid, Madrid
- Permanente
- Tiempo completo
- An attractive salary based on your experience and achievement. And the freedom to compose your personal benefit package.
- A dynamic environment: flexible working hours and working from home – everything is negotiable
- Learning opportunities: through an individual development plan and professional training
- Career growth: whether you want to become more of an expert in your field our you want to expand your knowledge more horizontally, there is always room to grow within SD Worx!
- Team Leadership: Lead, mentor, and support a team of data scientists, fostering a collaborative and innovative environment.
- Advanced Analytics and Modeling: Design and implement complex statistical models, machine learning algorithms, and data mining techniques to solve business problems.
- Data Strategy: Develop and execute data strategies that align with business objectives and drive value.
- Collaboration: Work with cross-functional teams to understand their needs and deliver data-driven insights and solutions.
- Data Preprocessing: Clean, preprocess, and organize raw data to ensure data quality and readiness for analysis.
- Research and Development: Stay current with the latest advancements in data science, machine learning, and AI, and apply new techniques to improve our capabilities.
- Solution Deployment: Implement and deploy machine learning models in production environments, ensuring scalability and efficiency.
- Ethical Data Use: Ensure all data practices comply with legal and regulatory requirements and promote ethical use of data.
- Master’s degree in computer science, Information Sciences with a focus on Machine Learning, Data Science, or AI.
- You have at least 5-7 years of experience in a similar role.
- Strong expertise in statistical analysis, machine learning, and data mining techniques.
- Proficiency in programming languages such as Python and experience with data science libraries and tools (e.g., TensorFlow, pandas).
- Have proven experience with Azure in general & at least with data factory, Git (Azure MLOps).
- Excellent problem-solving skills and the ability to work with complex datasets.
- Strong leadership and mentoring skills, with experience leading data science teams.
- Excellent communication skills, with the ability to present complex findings to both technical and non-technical audiences.
- You are eager to learn and have a result-driven mind-set.
- Experience in working with Docker.
- Experience in Agile working.
- Experience in developing data-products based on Large Language Model
- Deploying models using Azure services and building production-ready data solutions using APIs.