Data Scientist, Alexa Smart Home

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• 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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Market context

Median wage (BLS OEWS)

$111,944 national median

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.

Schedule

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

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About this role

Data Scientist, Alexa Smart Home Bengaluru, Karnataka, IND Alexa Smart Home is re-imagining how customers interact with and control their smart home devices. We process hundreds of millions of customer actions weekly across diverse device types, manufacturers, and APIs - and we're looking for a Data Scientist II to help us drive customer experience improvements, uncover insights, and build intelligent AI/ML-powered solutions at massive scale. As a Data Scientist on the Alexa Smart Home team, you will develop machine learning models, analytical frameworks and Gen-AI powered solutions that improve product quality, inform strategic decisions, and enable proactive detection of customer experience issues across the smart home ecosystem. You will work with large-scale behavioral and interaction datasets, design experimentation frameworks, and partner with engineering, product, and science teams to deliver data-driven solutions that directly impact millions of Alexa customers worldwide. This role offers the opportunity to work on cutting-edge problems - from building AI/ML solutions that predict and prevent customer-facing issues, to designing analytics systems that surface actionable insights for improving smart home reliability. Key job responsibilities • Design and implement AI/ML models, anomaly detection systems, and statistical frameworks to analyze customer interactions, identify emerging issues, and drive measurable improvements across the smart home ecosystem. • Own the full lifecycle of model development - from exploratory analysis and feature engineering through deployment, monitoring, and continuous improvement. • Partner with product, engineering, and science teams to translate complex business and technical problems into scalable, production-ready data science solutions. • Design and run

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