Senior Data Scientist

Lear Corporation.
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Information Engineering
R
Python
TensorFlow
SQL Databases
Data Ingestion
PyTorch
Deep Learning
Data Strategy
Information Technology
Machine Learning Operations
Data Pipelines

Job description

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

Requirements

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 * Motor Vehicle Manufacturing Referrals increase your chances of interviewing at Lear Corporation by 2x Sign in to set job alerts for "Senior Data Scientist" roles. We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

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