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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 Amazon Applied Science experts
Potential conversion to full-time role post-graduation
Standard Amazon benefits package including medical and financial benefits

Key Responsibilities

Collaborate on machine learning solutions for real customer impact
Analyze large-scale datasets to derive actionable insights
Develop metrics and business cases for program performance
Partner with product managers and technical teams
Contribute to scientific vision and 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 Abstract thinking ability Technical communication Ability to handle ambiguous problems
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Sauge AI Market Intelligence

Industry Trends

Growing emphasis on applied AI/ML roles in tech companies focusing on practical implementation rather than pure research Increasing integration of ML solutions into core business operations Rising demand for hybrid technical-business roles that can translate ML capabilities into business value

Salary Evaluation

The wide salary range ($35,000-$157,000 annualized) reflects both junior and senior level compensation, with typical Jr. Applied Scientists in Santa Cruz area earning $85,000-$110,000 annually with full benefits

Role Significance

Typically part of 5-8 person ML teams, working closely with 1-2 senior scientists and several engineers
Entry-level with high growth potential, serving as a pipeline for senior Applied Scientist positions

Key Projects

Customer behavior prediction models Recommendation system optimization Operational efficiency improvements Data pipeline development ML model deployment and monitoring

Success Factors

Strong foundation in theoretical ML concepts combined with practical implementation skills Ability to balance academic commitments with professional responsibilities Excellent communication skills to work with cross-functional teams Self-directed learning capability with mentor guidance

Market Demand

Very high demand with sustained growth projected. Applied ML roles are experiencing 35% year-over-year growth in job postings

Important Skills

Critical Skills

Machine Learning: Foundation for all role responsibilities Data Analysis: Essential for deriving actionable insights Programming: Required for implementing ML solutions Communication: Critical for cross-team collaboration

Beneficial Skills

Cloud Computing: Advantageous for AWS integration Product Sense: Helpful for understanding business impact Distributed Systems: Valuable for large-scale implementations

Unique Aspects

Year-round program structure combining academic and professional development
Direct mentorship from industry leaders
Real project responsibility with customer impact
Clear path to full-time conversion

Career Growth

2-3 years in Jr. role before promotion to full Applied Scientist, with potential fast-track based on performance

Potential Next Roles

Applied Scientist Senior Applied Scientist ML Team Lead Research Scientist

Company Overview

Amazon.com Services LLC

Amazon leads in cloud computing, e-commerce, and artificial intelligence, with significant investment in ML research and applications

Top-tier tech company with extensive resources for ML development and implementation
Santa Cruz office represents strategic expansion into talent-rich areas near Silicon Valley
Fast-paced, data-driven environment with emphasis on innovation and customer obsession
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