Senior Data Scientist
Role details
Job location
Tech stack
Job description
Design, build, and deploy scalable models including deep learning architectures, defect detection, and NLP solutions. * Collaborate cross-functionally with business stakeholders to define project scope, objectives, success metrics, and translate business needs into solutions. * Define technical success criteria and business process requirements in partnership with the project manager and stakeholders. * Work closely with the Data & Digitalization team to establish an overall data strategy. * Partner with data engineering and Foundry teams to design scalable data pipelines. * Ensure adherence to data quality standards and compliance with applicable security regulations, data privacy laws, EU-AI intelligence Act, and regional legislation. * Lead and mentor junior data scientists, providing technical guidance, training, and support throughout solution development. * Lead technical reviews and promote best practices in data science methodologies. * Drive innovation-experimenting with
Requirements
Overview Join a team of data scientists to leverage data to improve operational efficiency and product quality, driving strategic decision-making and product innovation, and delivering actionable insights for business leaders. Scope of the Position We are seeking a Senior Data Scientist with a strong background in data collection and analysis, as well as advanced machine learning and deep learning knowledge. This role requires leading data science projects from conception to deployment, mentoring junior team members, and collaborating with stakeholders across departments. Expertise in Python, data engineering pipelines, MLOps, and production-grade model deployment is essential. Main Responsibilities * Model development and deployment: build and deploy production-grade models, ensuring they meet data quality standards and compliance with security regulations. * Develop end-to-end Data Science projects, from data ingestion to model deployment, delivering clear actionable insights. *, new techniques, improving model performance, staying abreast of ML/AI advancements, and proposing AI projects to solve current business challenges. Requirements * Master's or PhD in Computer Science, Statistics, Engineering, or a related field. * 5+ years of experience in data science or machine learning. * Strong leadership and mentoring ability with excellent business and technical communication skills and a strategic mindset. * Proven senior/lead data scientist experience; proficiency in Python, R, SQL, and cloud platforms (AWS / Azure). * Hands-on experience with TensorFlow, PyTorch, or similar frameworks and MLOps for scalable deployment. #J-18808-Ljbffr