Data Scientist II, Long Term Planning and Forecasting
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Job Location:
Bellevue, WA - USA
Monthly Salary:
Not Disclosed
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
We are seeking an experienced Data Scientist to drive scientific tooling supporting how Amazons business customers interact with LTPF forecasts and plans. As a science leader within the LTPF you will be responsible for building to the multi-year roadmap for customer engagement ensuring that business stakeholders across Amazon can seamlessly access understand and act upon our forecasting this role you will manage the lifecycle of complex cross-functional programs that transform how Operations Stores and Finance teams leverage LTPF insights for strategic decision-making. You will work with scientists economists engineers and business customers to architect the customer interaction experience including viewing capabilities auditing tools what-if analysis frameworks and forecast intervention workflows.
This role might be for you if you have interest and experience in:
- Leading large cross-functional planning and strategy workstreams that impact Amazons topline growth
- Defining multi-year program vision and strategy while balancing short-term execution
- Regularly presenting to VP and SVP level leaders
- Prioritizing operational excellence work alongside feature delivery on a roadmap
- Showing strong business acumen with strategic analytical and critical thinking
- Managing planning calendars and strategic review mechanisms
- Driving organizational alignment across multiple teams and stakeholders
Key job responsibilities
As a Data Scientist in LTPF (Long-Term Planning & Forecasting):
- You will develop causal inference models automated explainability frameworks and variance bridging methodologies that translate LTPFs forecasts and plans into actionable business intelligence.
- Your work will enable leadership to understand why forecasts and actuals diverge what is driving demand shifts and how strategic decisions propagate through the planning ecosystem.
- You will build automated Plan-vs-Actual and Actual-vs-Actual variance decomposition models that quantify the contribution of individual demand drivers to observed gaps across revenue price units inventory and capacity metrics at multiple granularities to serve audiences from working-level analysts to VP-level planning reviews cycles.
- You will build and maintain a causal model library with standardized hypothesis generation and validation pipelines applying techniques from causal inference time-series econometrics and Bayesian methods. Each model will include calibrated confidence scoring and reusable components that scale across worldwide marketplaces.
- You will develop GenAI-powered narrative generation capabilities that synthesize quantitative variance outputs into human-readable performance summaries and design automated hypothesis ranking to determine which demand drivers are most responsible for observed forecast error.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment.
The benefits that generally apply to regular full-time employees include:
- Medical Dental and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you!
At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
About the team
The Long-Term Planning and Forecasting (LTPF) organization is dedicated to answering some of Amazons most important strategic questions: Where will Amazons growth come from in the next year What about over the next five years Which product lines are poised to grow significantly Are we investing appropriately in our infrastructure How do our customers react to changes in prices product selection or delivery times Are our infrastructure investments optimal for the level of demand we expect
- 2 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
- 1 years of guiding and coaching a group of researchers experience
- 1 years of working with or evaluating AI systems experience
- 1 years of creating or contributing to mathematical textbooks research papers or educational content experience
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)
- Experience applying theoretical models in an applied environment
- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python Perl or another scripting language
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience effectively communicating complex concepts through written and verbal communication
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
This role might be for you if you have interest and experience in:
- Leading large cross-functional planning and strategy workstreams that impact Amazons topline growth
- Defining multi-year program vision and strategy while balancing short-term execution
- Regularly presenting to VP and SVP level leaders
- Prioritizing operational excellence work alongside feature delivery on a roadmap
- Showing strong business acumen with strategic analytical and critical thinking
- Managing planning calendars and strategic review mechanisms
- Driving organizational alignment across multiple teams and stakeholders
Key job responsibilities
As a Data Scientist in LTPF (Long-Term Planning & Forecasting):
- You will develop causal inference models automated explainability frameworks and variance bridging methodologies that translate LTPFs forecasts and plans into actionable business intelligence.
- Your work will enable leadership to understand why forecasts and actuals diverge what is driving demand shifts and how strategic decisions propagate through the planning ecosystem.
- You will build automated Plan-vs-Actual and Actual-vs-Actual variance decomposition models that quantify the contribution of individual demand drivers to observed gaps across revenue price units inventory and capacity metrics at multiple granularities to serve audiences from working-level analysts to VP-level planning reviews cycles.
- You will build and maintain a causal model library with standardized hypothesis generation and validation pipelines applying techniques from causal inference time-series econometrics and Bayesian methods. Each model will include calibrated confidence scoring and reusable components that scale across worldwide marketplaces.
- You will develop GenAI-powered narrative generation capabilities that synthesize quantitative variance outputs into human-readable performance summaries and design automated hypothesis ranking to determine which demand drivers are most responsible for observed forecast error.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment.
The benefits that generally apply to regular full-time employees include:
- Medical Dental and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you!
At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
About the team
The Long-Term Planning and Forecasting (LTPF) organization is dedicated to answering some of Amazons most important strategic questions: Where will Amazons growth come from in the next year What about over the next five years Which product lines are poised to grow significantly Are we investing appropriately in our infrastructure How do our customers react to changes in prices product selection or delivery times Are our infrastructure investments optimal for the level of demand we expect
- 2 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
- 1 years of guiding and coaching a group of researchers experience
- 1 years of working with or evaluating AI systems experience
- 1 years of creating or contributing to mathematical textbooks research papers or educational content experience
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)
- Experience applying theoretical models in an applied environment
- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python Perl or another scripting language
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience effectively communicating complex concepts through written and verbal communication
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NY New York - 153400.00 - 207500.00 USD annually
USA WA Bellevue - 136000.00 - 184000.00 USD annually
Required Experience:
IC
About Company
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