Amazon.com Services LLC
Data Science, Science, selling partner services
DataScientist,SPXAILab
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist, SPX AI Lab at Amazon.com Services LLC. Skills: Machine learning, Causal inference, Generative AI, Data analysis. Drive analytical studies. Understand seller pain points”
What You'll Achieve.
Improve Selling Partner experience; Enable partners to thrive; Capitalize on opportunities; Accomplish business goals
Industry & Context.
Analytical approaches
What They're Looking For.
Must Have
2+ years data scientist experience, 3+ years SQL experience, 3+ years Python experience, 3+ years R experience, 3+ years machine learning experience, 1+ years evaluating AI systems
Nice to Have
Master's degree in STEM, Knowledge of ML concepts, Experience in ML role, Experience defining GenAI benchmarks, Experience on multi-team projects, Experience applying quantitative analysis, Experience communicating complex concepts
What You'll Do.
Drive analytical studies
Understand seller pain points
Evaluate feature performance
Identify opportunities
Design causal inference frameworks
Execute causal inference frameworks
Develop analytical pipelines
Apply statistical modeling techniques
Uncover insights from feedback
Partner with scientists
Partner with engineers
Partner with economists
Partner with product managers
Translate ambiguous problems
Influence product roadmaps
Build automated analytics tools
Maintain automated analytics tools
Collaborate with scientists
Evaluate model-driven features
Ensure mechanisms are grounded
Research new methodologies
Experiment with new methodologies
How You'll Work.
Team & Collaboration
Cross-disciplinary projects; Product roadmaps; Product teams; Science teams; Engineering teams
Communication Scope
Complex concepts
Full Job Description
The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX AI Lab team is building the AI capabilities powering the Selling Assistant, Amazon's conversational assistant experience for Selling Partners. The Selling Assistant is a trusted partner and a seasoned advisor that’s always available to enable our partners to thrive in Amazon’s stores. It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease. It is powered by the latest advances in Generative AI, going beyond a typical chatbot to provide an intuitive, intelligent, agentic and personalized experience to sellers running real businesses, large and small. Do you want to join an innovative group of scientists, engineers, and product managers who use advanced analytical, statistical, and machine learning techniques to help Amazon create a delightful Selling Partner experience? Are you excited about uncovering insights from massive-scale data, measuring the impact of AI-driven features, and shaping product strategy through rigorous analysis? Do you want to be part of one of Amazon’s most strategic initiatives to understand and improve seller experience? If yes, the SPX AI Lab may be the perfect fit for you. Key job responsibilities -- Drive deep-dive analytical studies to understand seller pain points, evaluate feature performance, and identify opportunities to improve the Selling Partner experience. -- Design and execute robust causal inference and measurement frameworks, including A/B testing, quasi-experiments, and observational causal methods (e.g., diff-in-diff, synthetic control, propensity score methods). -- Develop scalable analytical pipelines for impact measurement, KPI development,
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