Data Scientist

Data Scientist, Alexa Connections - Chennai, India

Join Amazon Robotics in Chennai, India, as a Data Scientist for Alexa Connections. In this pivotal role, you will spearhead the development of advanced machine learning and data science solutions designed to enhance intelligent communication experiences across various channels, including calling, messaging, and email. You will collaborate closely with product, engineering, and business leaders to transform complex, ambiguous challenges into scalable machine learning models, robust experimentation frameworks, and data-informed product strategies. Your responsibilities will include designing and deploying sophisticated ML and statistical models for capabilities such as prioritization, intent detection, and proactive action recommendations. You will conduct in-depth analysis of large-scale datasets and execute rigorous experiments, including A/B testing and causal analysis, to quantify 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:

• Partner with product, engineering, operations, and security teams to translate complex business problems into scalable, production-ready data science and ML solutions.
• Own the complete lifecycle of model development, encompassing exploratory analysis, model design, deployment, monitoring, and ongoing improvement.
• Define and monitor key success metrics, perform thorough analyses, and provide actionable insights to guide product launches, feature enhancements, and data-driven decision-making.
• Develop data-driven business cases to prioritize science initiatives and demonstrate the measurable impact of ML solutions.
• Build and implement ML-powered systems that support critical business functions.
• Lead research and analysis to deepen the understanding of customer interactions with Alexa and to improve the overall customer experience.
• Contribute to the wider science community through mentoring analysts, enhancing data workflows and tooling, and publishing technical work in internal and external forums.

A Day in the Life:

• Conduct deep dives into business metrics, analyze data trends, and review dashboards.
• Write code for building Python packages, crafting SQL queries, and deploying solutions for consumption by Connections experience teams.
• Lead or participate in working sessions with Product Managers to refine problem statements for new initiatives.
• Explore new features and model architectures, utilizing AWS services, documentation, and continuously upskilling in the latest technologies.
• Leverage pre-trained Large Language Models (LLMs) to develop applications that address business problems 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 that are presented to the Connections leadership team.

Basic Qualifications:

• A minimum of 2 years of experience as a Data Scientist.
• At least 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, etc.).
• A minimum of 3 years of experience with machine learning/statistical modeling, data analysis tools and techniques, and understanding parameters that affect their performance.
• A minimum of 1 year of experience creating or contributing to mathematical textbooks, research papers, or educational content.

Preferred Qualifications:

• A Ph.D. in a Science, Technology, Engineering, or Mathematics (STEM) field.
• Demonstrated knowledge of machine learning concepts and their application to reasoning and problem-solving.
• Proficiency in Python, Perl, or another scripting language.
• Experience in an ML or Data Scientist role within a large technology company.
• Experience in defining and creating benchmarks for assessing Generative AI (GenAI) model performance.
• Experience working on multi-team, cross-disciplinary projects.
• Proven experience applying quantitative analysis to solve business problems and making data-driven business decisions.
• Strong 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 https://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.

Company: ADCI MAA 15 SEZ

Job ID: A10379483