ADCI

Machine Learning Science, Science, alexa and amazon devices

DataScientistII

₹18–28L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Scientist II at ADCI. Skills: Machine learning models, AI/ML-powered solutions, Analytical frameworks, GenAI, LLM. Design AI/ML models. Implement AI/ML models”

What You'll Achieve.

Improve product quality; Inform strategic decisions; Enable proactive detection; Drive measurable improvements; Accelerate insight generation; Automate analytical workflows

Industry & Context.

Machine Learning Science, Science, alexa and amazon devices
Problems you'll solve

Root cause analysis; Troubleshooting; Data-driven decision making

What They're Looking For.

Must Have

3+ years of data scientist experience, 3+ years of data querying languages experience, 3+ years of scripting languages experience, 3+ years of statistical/mathematical software experience, 3+ years of machine learning/statistical modeling experience, 1+ years of working with or evaluating AI systems experience

Nice to Have

Ph. D. in STEM, Knowledge of machine learning concepts, Experience defining GenAI benchmarks, Experience working on multi-team projects, Experience applying quantitative analysis, Experience developing experimental and analytic plans

What You'll Do.

Implement AI/ML models

Design anomaly detection systems

Implement anomaly detection systems

Design statistical frameworks

Implement statistical frameworks

Analyze customer interactions

Identify emerging issues

Drive measurable improvements

Own model development lifecycle

Perform exploratory analysis

Perform feature engineering

Partner with product teams

Partner with engineering teams

Partner with science teams

Translate business problems

Translate technical problems

Deliver data science solutions

Guide strategic decisions

Develop analytical solutions

Develop impact measurement solutions

Develop KPI development solutions

Develop metric integrity validation solutions

Develop long-term business monitoring solutions

Explore GenAI approaches

Apply GenAI approaches

Explore LLM-based approaches

Apply LLM-based approaches

Accelerate insight generation

Automate analytical workflows

Solve smart home challenges

Communicate recommendations

Influence product strategy

Influence business strategy

Collaborate with colleagues

Contribute to science community

Improve data workflows

How You'll Work.

Team & Collaboration

Partner with engineering; Partner with product; Partner with science; Collaborate with colleagues; Cross-disciplinary teams

Communication Scope

Data narratives; Written documents; Presentations

Full Job Description

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 rigorous experiments (A/B testing, causal analysis) to measure the impact of product and quality improvements and guide strategic decisions. • Develop scalable analytical solutions for impact measurement, KPI development, metric inte

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