The WW Operations IPAT team is revolutionizing Amazon's financial forecasting through TrendCast, an innovative, automated, science based top-down forecast modeling that's transforming how we predict Worldwide Operations costs. This cutting-edge approach leverages key performance indicators to generate automated, transparent forecasts with unprecedented frequency. By moving beyond traditional bottom-up planning, TrendCast empowers leadership with real-time insights, enabling swift identification of both risks and opportunities. This game-changing model not only delivers more agile and precise financial projections but also significantly reduces the workload on finance teams. By providing more frequent forecasts, this model will facilitate leadership's decision-making process, allowing for more timely and informed strategic choices.
Key job responsibilities
As our operational scope rapidly expands, we're seeking a Senior Data Scientist to spearhead the development of advanced analytical solutions. In this role, you will:
• Drive model development and improvement through machine learning and statistical techniques, creating scalable solutions for complex business problems
• Design, develop, and evaluate novel forecasting models, with a focus on large-scale operational challenges
• Lead projects through the entire data science lifecycle, from problem formulation to production deployment, working with both technical and non-technical stakeholders
• Implement advanced ML models, including supervised and unsupervised learning approaches, and optimization algorithms for supply chain and operational systems
• Develop a deep understanding of key business metrics and KPIs, connecting them to actionable levers that inform strategic decisions
• Collaborate closely with finance, product, and BIEs teams to build and deploy robust models and algorithms
• Architect scalable data pipelines and work with distributed computing frameworks to handle petabyte-scale datasets
The ideal candidate will have expertise in ML model development, optimization techniques, statistical analysis, and database design. Proficiency in working with large, complex datasets and visualization tools is essential. Experience with cloud computing, MLOps, and production model deployment is highly valued.
Join our team as we tackle unprecedented challenges in global operations, driving data-driven decision making at scale.- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
