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Data Scientist, SAMBA - Job Opportunity at Audible

Newark, US
Full-time
Senior
Posted: May 11, 2025
On-site
USD 140,000 - 180,000 per year based on location and seniority

Benefits

Entrepreneurial work environment with high innovation focus
Career development opportunities within Amazon ecosystem
Cutting-edge technical infrastructure and tools
Collaborative team environment focused on scientific approaches

Key Responsibilities

Lead development of scalable machine learning solutions for business optimization
Design and implement Amazon-scale data engineering pipelines
Drive innovation in customer interaction optimization through predictive modeling
Conduct advanced causal inference analysis and data visualization
Collaborate across disciplines with ML experts and scientists within Amazon ecosystem
Contribute to intellectual property development and team growth

Requirements

Education

MS in Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or related quantitative field, or PhD

Experience

3+ years relevant experience (or PhD +1 year)

Required Skills

SQL Python Machine Learning Pipeline orchestration AWS (SageMaker, Batch, Lambda, Step Functions) Big Data Engineering Spark AWS EMR & Glue Agile Software Development
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Sauge AI Market Intelligence

Industry Trends

Audio content consumption is experiencing rapid growth, particularly in specialized content niches Integration of ML/AI in content recommendation systems is becoming increasingly sophisticated Cloud-native data science workflows are becoming standard, especially in enterprise environments There's increasing emphasis on causal inference alongside traditional predictive modeling

Role Significance

Likely part of a specialized data science team of 5-10 members within larger tech organization
Senior individual contributor role with significant technical autonomy and strategic input

Key Projects

Content personalization and recommendation system development Customer engagement optimization through predictive modeling Marketing effectiveness analysis and optimization Large-scale data pipeline development and optimization

Success Factors

Strong foundation in statistical methods and causal inference Experience with large-scale data processing and ML pipeline development Ability to translate complex technical concepts for business stakeholders Track record of deploying production ML systems at scale

Market Demand

Very high demand with significant competition for talent in the audio streaming and content personalization space

Important Skills

Critical Skills

Advanced machine learning and causal inference expertise for content optimization Large-scale data engineering experience for handling massive user interaction datasets Cloud architecture knowledge for building scalable ML systems Strong business acumen for translating analysis into actionable insights

Beneficial Skills

Experience with audio processing or NLP Familiarity with recommendation systems Knowledge of streaming data architectures Container orchestration experience

Unique Aspects

Direct impact on content discovery and consumption patterns for millions of users
Access to unique audio content data and user behavior patterns
Integration with Amazon's broader technical ecosystem
Opportunity to work on novel applications of ML in audio content space

Career Growth

2-3 years in role before advancement opportunity, depending on impact and organizational growth

Potential Next Roles

Lead Data Scientist Machine Learning Manager Principal Data Scientist Technical Director

Company Overview

Audible

Audible, an Amazon subsidiary, is the world's largest producer and provider of spoken-word entertainment and audiobooks

Market leader in audiobook and spoken-word content with significant growth trajectory
Major tech employer in Newark area with strong connection to Amazon's broader technical ecosystem
Innovation-driven environment with strong emphasis on technical excellence and customer obsession
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