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Jr. Applied Scientist - Job Opportunity at Amazon.com Services LLC

Santa Cruz, United States
Part-time
Entry-level
Posted: January 25, 2025
On-site
USD 16.83-75.63 per hour

Benefits

Flexible work schedule during academic year
Full-time summer employment
1:1 mentorship with experienced Applied Scientists
Potential for full-time conversion post-graduation
Comprehensive medical and financial benefits package
Career development and learning opportunities

Key Responsibilities

Analyze large-scale data sets to derive actionable customer insights
Develop and implement machine learning solutions for real Amazon customers
Collaborate with distributed systems and data infrastructure
Partner with product managers on ML implementation strategies
Build metrics and business cases for program performance
Contribute to technical vision and scientific innovation

Requirements

Education

Currently enrolled in Master's degree program in Computer Science, Statistics or related STEM discipline

Experience

Previous technical internship experience required

Required Skills

Machine learning expertise Data analysis capabilities Problem-solving skills Communication skills Ability to handle ambiguous problems Abstract thinking
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Sauge AI Market Intelligence

Industry Trends

The integration of applied scientists into product teams reflects the increasing importance of ML-driven decision making in tech companies Growing demand for hybrid academic-industry roles indicates a shift toward continuous learning models in tech employment Rise of specialized ML roles at junior levels shows companies investing in building internal AI talent pipelines

Salary Evaluation

The wide salary range ($35,000-$157,000 annually) reflects variable experience levels and performance expectations, with Santa Cruz market rates typically falling in the upper middle of this range

Role Significance

Typically embedded in teams of 5-8 scientists and engineers, with direct mentorship from senior applied scientists
Entry-level position with high growth potential, structured as a bridge between academic and professional applied science work

Key Projects

Customer behavior analysis and prediction models Product recommendation system improvements Efficiency optimization algorithms ML model deployment and monitoring systems

Success Factors

Strong academic foundation in ML/AI principles Ability to balance academic studies with practical application Effective communication between technical and non-technical stakeholders Adaptability to fast-paced production environment

Market Demand

Very high demand, particularly in Silicon Valley adjacent markets, with sustained growth expected due to AI/ML integration across Amazon's product lines

Important Skills

Critical Skills

Machine learning fundamentals Statistical analysis Programming proficiency Research methodology

Beneficial Skills

Cloud computing knowledge Distributed systems understanding Product sense Business acumen

Unique Aspects

Year-round part-time structure allowing academic/professional balance
Direct mentorship from industry leaders
Clear path to full-time conversion
Exposure to production-scale ML systems

Career Growth

2-3 years in role with potential for direct conversion to full-time Applied Scientist upon graduation

Potential Next Roles

Applied Scientist Senior Applied Scientist Machine Learning Engineer Research Scientist

Company Overview

Amazon.com Services LLC

Amazon's investment in junior ML talent reflects its commitment to developing internal AI capabilities across its vast ecosystem

Industry leader in applying ML at scale, with significant resources dedicated to AI research and development
Santa Cruz location represents strategic expansion beyond traditional Silicon Valley hubs while maintaining tech ecosystem access
Fast-paced, data-driven environment with strong emphasis on mentorship and learning
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Job Listings Data

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  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
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