Data Scientist, Alexa Connections

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning

In short

Data Scientist to lead end-to-end development of machine learning and data science solutions for intelligent communication experiences. You will design and deploy advanced ML and statistical models, analyze large-scale datasets, run rigorous experiments, and shape the applied science roadmap. Requires 3+ years of experience in data science, querying languages like SQL, and scripting languages like Python.

Responsibilities

Lead end-to-end development of machine learning and data science solutions powering intelligent communication experiences.
Partner with product, engineering, and business leaders to translate ambiguous problems into scalable ML models, experimentation frameworks, and data-driven product decisions.
Design and deploy advanced ML and statistical models for capabilities such as prioritization, intent detection, and proactive action recommendations.
Analyze large-scale datasets and run rigorous experiments, including A/B testing and causal analysis.
Shape the applied science roadmap and collaborate with global cross-functional teams.
Own the full lifecycle of model development, including exploratory analysis, model design, deployment, monitoring, and continuous improvement.
Define and track success metrics, conduct rigorous analyses, and provide insights that guide product launches and feature improvements.
Build data-driven business cases to prioritize science initiatives and demonstrate measurable impact of ML solutions.
Develop ML-powered systems supporting key business areas.
Lead research and analysis to understand customer interactions with Alexa and enhance overall customer experience.
Contribute to the broader science community by mentoring analysts, improving data workflows and tooling, and publishing technical work.

Requirements

3+ years of data scientist experience
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

Desired Qualifications

Experience with SQL and statistical/mathematical programming software packages like R, SPSS, CPLEX, LONDO or Xpress
Experience in Python, Perl, or another scripting language
Experience in a ML or data scientist role with a large technology company
Experience in defining and creating benchmarks for assessing GenAI model performance
Experience applying quantitative analysis to solve business problems and making data-driven business decisions
Experience effectively communicating complex concepts through written and verbal communication

Benefits

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.

Skills

PythonSQLRMatlabSASAWSLLM

#Data Science#Machine Learning#Alexa

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