Data Scientist, Alexa Connections - Chennai, India

Join the innovative Alexa Connections team at Amazon Thunder in Chennai, India, and lead the development of cutting-edge machine learning and data science solutions. You will shape intelligent communication experiences across calling, messaging, and email by partnering with product, engineering, and business leaders. This role involves translating complex, ambiguous problems into scalable machine learning models, robust experimentation frameworks, and data-driven product decisions. You will design and deploy advanced ML and statistical models for crucial capabilities like prioritization, intent detection, and proactive action recommendations. Analyze large-scale datasets and execute rigorous experiments, including A/B testing and causal analysis, to measure impact and optimize customer engagement and product performance. Furthermore, you will influence the applied science roadmap and collaborate with global, cross-functional teams to deliver AI-driven solutions that impact millions of Alexa customers.

Key Responsibilities

• Collaborate with product, engineering, operations, and security teams to transform complex business challenges into scalable, production-ready data science and ML solutions.
• Manage the complete model development lifecycle, encompassing exploratory analysis, model design, deployment, monitoring, and continuous enhancement.
• Define and track key success metrics, perform thorough analyses, and provide actionable insights to guide product launches, feature improvements, and data-informed decision-making.
• Develop data-driven business cases to prioritize science initiatives and clearly demonstrate the measurable impact of ML solutions.
• Build and implement ML-powered systems that support critical business functions.
• Conduct research and analysis to deepen the understanding of customer interactions with Alexa and elevate the overall customer experience.
• Contribute to the broader science community through mentoring analysts, improving data workflows and tooling, and disseminating technical findings in internal and external forums.

A Day in the Life

• Engage in deep dives into business metrics, analyzing data, identifying trends, and reviewing dashboards.
• Write code for 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 for new initiatives.
• Explore novel 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 within Connections experiences.
• Meet with Senior/Principal Engineers to align on solution designs and architectural strategies.
• Own or co-own Monthly Business Review (MBR) and Weekly Business Review (WBR) documents for review with 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 such as SQL, scripting languages like Python, or statistical/mathematical software such as R, SAS, or Matlab.
• A minimum of 3 years of experience with machine learning, statistical modeling, data analysis tools, and techniques, including understanding parameters that affect their performance.
• At least 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.
• Strong knowledge of machine learning concepts and their application to problem-solving and reasoning.
• Proficiency in Python, Perl, or another scripting language.
• Prior experience in a Machine Learning or Data Scientist role within a major technology company.
• Experience in defining and establishing benchmarks for evaluating Generative AI (GenAI) model performance.
• Proven experience working on multi-team, cross-disciplinary projects.
• Demonstrated experience in applying quantitative analysis to solve business problems and making data-driven business decisions.
• Excellent ability to communicate complex concepts effectively through both written and verbal channels.

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Company: ADCI MAA 15 SEZ

Job ID: A10379483