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 Mentorship: mentor

Requirements

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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