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Senior Data Scientist
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Lear Corporation 2 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. 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. Location
Valladolid, VA, ES, 47195 Country/Region: Spain Job details
Job Function: Information Technology Requisition ID: 42966 Employment Type: Salary 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: Develop end-to-end data science projects with clear, actionable insights identified from data ingestion to model deployment in production environments. Lead initiatives from ideation to design, building and deploying scalable models, deep learning architectures, defect detection, and NLP solutions. Collaboration: Work cross-functionally with business stakeholders to define project scope, objectives, and success metrics, translating business needs into solutions. Define, with the project manager and stakeholders’ input, the key technical success criteria for the solution and business process. Collaborate with the Data & Digitalization team to ensure an overall data strategy is defined. Partner with data engineering and Foundry teams to design scalable data pipelines. Ensure adherence to data quality standards and compliance with applicable security regulations and data privacy laws. Leadership and Mentorship: mentor junior data scientists, provide technical guidance, define training to close skill gaps, and support solution development. Lead technical reviews and promote best practices in data science methodologies. Innovation: drive experimentation and model performance improvements; stay up to date with the latest ML/AI technologies. Propose AI innovation projects that address observed business challenges. Qualifications
Master’s or PhD in Computer Science, Statistics, Engineering, or a related field. 5+ years of experience in data science or ML. Strong leadership and mentoring ability with excellent business and technical communication skills and a strategic mindset with hands-on capability. Proven experience as a Senior Data Scientist or Lead Data Scientist. Proficiency in Python, R, SQL, and cloud platforms (AWS/Azure). Hands-on experience with TensorFlow, PyTorch, or similar frameworks; experience in MLOps and scalable deployment. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
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