Data Scientist, Alexa Connections

Join the Alexa Connections team as a Data Scientist in Chennai, India, and play a pivotal role in developing cutting-edge machine learning and data science solutions that enhance intelligent communication experiences across calling, messaging, and email. You will collaborate closely with product, engineering, and business leaders to transform complex challenges into scalable ML models, robust experimentation frameworks, and data-informed product strategies. This role involves designing and deploying advanced ML and statistical models for critical capabilities such as prioritization, intent detection, and proactive action recommendations. You will analyze vast datasets and conduct rigorous experiments, including A/B testing and causal analysis, to measure impact and continuously optimize customer engagement and product performance. Furthermore, you will contribute to shaping the applied science roadmap and work with global cross-functional teams to deliver AI-driven solutions that cater to millions of Alexa customers.

Key Responsibilities

• Collaborate with product, engineering, operations, and security teams to translate intricate business problems into production-ready data science and ML solutions.
• Manage the complete lifecycle of model development, from exploratory analysis and model design to deployment, monitoring, and ongoing improvement.
• Define and track key success metrics, perform in-depth analyses, and deliver insights to guide product launches, feature enhancements, and data-driven decision-making.
• Develop data-driven business cases to prioritize science initiatives and quantify the impact of ML solutions.
• Build ML-powered systems to support core business areas.
• Conduct research and analysis to deepen the understanding of customer interactions with Alexa and improve the overall customer experience.
• Contribute to the broader science community by mentoring analysts, refining data workflows and tooling, and sharing technical work through internal and external channels.

A Day in the Life

• Conduct deep dives into business metrics, analyze data trends, and review dashboards.
• Write production-level code, including building Python packages, crafting SQL queries, and deploying solutions for Connections experience teams.
• Lead or participate in working sessions with Product Managers to refine problem statements and define new initiatives.
• Explore new features and model architectures, utilizing AWS services, documentation, and staying current with the latest technologies.
• Leverage pre-trained LLMs to develop applications that address business challenges for Connections experiences.
• Meet with Senior and Principal Engineers to align on solution designs.
• Own or co-own Monthly Business Review (MBR) and Weekly Business Review (WBR) documents for presentation to the Connections leadership team.

Basic Qualifications

• 2+ years of experience as a Data Scientist.
• 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
• 3+ years of experience with machine learning, statistical modeling, data analysis tools, techniques, and performance parameters.
• 1+ year of experience creating or contributing to mathematical textbooks, research papers, or educational content.

Preferred Qualifications

• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM).
• Solid understanding of machine learning concepts and their application to reasoning and problem-solving.
• Experience in Python, Perl, or another scripting language.
• Experience in a Machine Learning or Data Scientist role within a large technology company.
• Experience defining and creating benchmarks for evaluating Generative AI (GenAI) model performance.
• Experience working on multi-team, cross-disciplinary projects.
• Proven ability to apply quantitative analysis to solve business problems and make data-driven business decisions.
• Demonstrated ability to effectively communicate complex concepts through both written and verbal communication.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.