Data Scientist Senior

Data Scientist

Company Overview 

Lear, a global automotive technology leader in Seating and E-Systems, enables superior in-vehicle experiences for consumers around the world. Lear’s diverse team of talented employees in 37 countries is driven by a commitment to innovation, operational excellence, and sustainability. Lear is Making every drive better™ by providing the technology for safer, smarter, and more comfortable journeys. Lear, headquartered in Southfield, Michigan, serves every major automaker in the world and ranks 189 on the Fortune 500. Further information about Lear is available at lear.com or on Twitter @LearCorporation.

 Position overview:

We seek a talented Data Scientist with expertise in AI algorithm development, computer vision, forecasting, and deep learning. As part of our team, you’ll design and fine-tune machine learning models, apply computer vision techniques to analyze visual data, and predict future values using time series analysis. Collaboration with cross-functional teams and effective communication are essential. Proficiency in Python, deep learning libraries (e.g., TensorFlow, Keras), and real-world problem-solving is a must. Join us in driving innovation across diverse domains.

Main Missions:

• Gather and organize data from various sources.
• Automate data collection processes to ensure efficiency.
• Clean and validate data to ensure accuracy and completeness.
• Handle both structured (e.g., databases) and unstructured (e.g., text) data.
• Conduct statistical analyses on large datasets to discover trends and patterns.
• Use tools like R, SQL, and Python for data analysis.
• Build Predictive Models and Machine-Learning Algorithms:
• Develop models to address business problems.
• Utilize machine-learning techniques to forecast future trends and behaviors.
• Experience in computer vision
• Combine multiple models to improve accuracy and robustness.
• Create visualizations (e.g., charts, graphs) to communicate findings effectively.
• Translate data insights into actionable recommendations.
• Collaborate with engineering and product development teams.

HEALTH, SAFETY & ENVIRONMENTAL RESPONSIBILITIES

• Ensure a safe working environment by following and supporting the Company’s working practices,
• comply with all relevant HSE legislation and local policies and procedures – Additional Responsibilities detailed in the HS&E Manual.
• Ensure peers and members in the department comply with TS16949 policies and procedures.

 Key Skills and Qualifications:

• Bachelor’s degree in computer science, Engineering, or a relevant field.
• Proven experience as a Data Scientist.
• Understanding of machine learning and operations research.
• Proficiency in R, SQL, and Python.
• Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop). 
• Analytical mindset and business acumen.
• Strong math skills (e.g., statistics, algebra).
• Result oriented.
• Excellent communication and presentation skills.

Why Lear

We offer a fantastic place to work that embraces diversity, opportunities for growth and the chance to be part of a company that puts its people first.

What We Offer

• Competitive Salary,
• Access to Learning and development opportunities.
• Opportunities to give back to the community.
• Meaningful work that makes a difference in the world

Lear Corporation is an Equal Opportunity Employer, committed to a diverse workplace.

Applicants must submit their resumes for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.