Sr. Data Scientist, Amazon Leo Global Planning, Amazon Leo
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Job Location:
Bellevue, WA - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Do you get excited by aerospace space exploration and/or satellites Do you want to help build solutions at Amazon Leo to transform the space industry If so then we would love to talk!
Key job responsibilities
Work cross-functionally with product business capacity planning and various technical teams (satellite engineering communications systems and network engineering science simulations etc) to quantify the impact of various technical trades what if scenarios and customer requirements on the long-term vision strategy and business case for Amazon Leo.
Operate in ambiguous fast-moving environments where speed of insight can matter as much as analytical precision.
Scale models to include B2B B2C B2G & mobility (aviation maritime land mobile) across geographic and temporal grains capturing both short range and long range impacts in terms of bandwidth capacity quality of service metrics and overall business revenue targets.
Move prototypes to production environments enabling scalable repeatable analysis and flexible frameworks for custom deal support.
Work closely with the capacity planning and applied science teams to ensure that models seamlessly integrate with upstream and downstream systems.
Synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive decisions across Amazon Leo.
Export Control Requirement: Due to applicable export control laws and regulations candidates must be a U.S. citizen or national U.S. permanent resident (i.e. current Green Card holder) or lawfully admitted into the U.S. as a refugee or granted asylum.
About the team
The Amazon Leo Global Demand Planning teams mission is to map customer demand across space and time. We enable Amazon Leos long-term success by delivering actionable insights and scientific forecasts across geographies and customer segments to empower long range planning capacity simulations business strategy and hardware manufacturing recommendations through scalable tools and durable mechanisms.
- 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
- Experience working with scientists economists software developers or product managers
- Knowledge of AWS tech stack (e.g. AWS Redshift S3 EC2 Glue)
- 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
- Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science
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 VA Arlington - 159200.00 - 215300.00 USD annually
USA WA BELLEVUE - 159200.00 - 215300.00 USD annually
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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