Amazon.com Services LLC
Data Science, Science, cx and business trends
DataScienceManager,CustomerExperienceandBusinessTrends
Neural analysis suggests this role is
optimal for Manager candidates.
“Data Science Manager, Customer Experience and Business Trends at Amazon.com Services LLC. Skills: Data Science, Machine Learning, Analytics, Leadership. Build metrics and trend-detection product. Design and operationalize framework”
What You'll Achieve.
Deliver insights for decisions; Translate insights into decisions; Measurable business impact
Industry & Context.
Data-driven decisions
What They're Looking For.
Must Have
5+ years quantitative solutions, 2+ years management experience, 5+ years statistical models, Knowledge of Python or R, Master's degree
Nice to Have
Machine Learning experience, Fairness in ML/AI experience
What You'll Do.
Build metrics and trend-detection product
Design and operationalize framework
Surface emerging business trends
Partner with stakeholders
Drive product adoption
Align products with business use cases
Translate ambiguous problems
Scope analytics solutions
Drive adoption for insights
Set clear expectations
Give actionable feedback
Create stretch opportunities
Lead transformation to GenAI
Shape technical strategy
Evolve analytics toward GenAI
Accelerate insight generation
Improve self-serve access
Free capacity for scientific investment
How You'll Work.
Team & Collaboration
Cross-org stakeholders; Internal customers; Partner teams; Centralized science teams
Communication Scope
Brief senior leaders
Process & Methodology
Roadmap
Full Job Description
Amazon's Customer Experience and Business Trends (CXBT) is seeking a Data Science Manager to lead a team of scientists and engineers within Benchmarking Economics Analytics and Measurement (BEAM). BEAM is a central analytics and science function that drives Amazon's quantification of CX improvement opportunities through comparative benchmarks, partnering with stakeholders across CXBT, business domain teams, Finance, SCOT, and other centralized science teams. This is a hands-on leadership role for a manager who can set technical direction, build durable data products, and grow people. You will own the strategy and roadmap for a portfolio of analytics products, working backward from leadership and stakeholder needs to deliver insights that inform decisions at the speed of business. Key job responsibilities - Build a holistic metrics and trend-detection product. Lead the team to design and operationalize an always-on framework of indicators that surfaces emerging business trends reliably enough to brief senior leaders. - Partner with cross-org stakeholders to drive product adoption and impact. Work directly with internal customers and partner teams to ensure our products are tightly aligned with business use cases, translate ambiguous problems into well-scoped analytics solutions, and drive adoption so that insights translate into decisions and measurable business impact. - Manage, mentor, and grow the team. Hire, develop, and retain a high-performing team of scientists and engineers. Set clear expectations, give actionable feedback, create stretch opportunities, and build the bench strength needed to scale the team's scope over time. - Lead the transformation from traditional analytics to a GenAI-native operating model. Shape and execute the team's technical strategy to evolve from manual, study-based analytics toward GenAI-enabled products and workflows — accelerating insight generation, improving self-serve access for stakeholders, and freeing capacity for deeper sc
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