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Senior Data Scientist

Lear Corporation - Job Location (country) Czech Republic|Poland|Slovakia|Macedonia

Posted Jun 12, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
Not verified checked Jun 7, 2026
Salary
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401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Company

Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Scientist Job Location (country) Czech Republic|Poland|Slovakia|Macedonia Driving the future of automotive. We're Lear For You. 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 38 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. Further information about Lear is available at lear.com or on Twitter @LearCorporation. 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, 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). Drive the initiatives from ideation to design, building and deploying scalable models, deep learning architectures, defect detection, and NLP solutions. Collaboration: Work cross-functionally with busines

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