Simulation Engineer
3 weeks ago
We are seeking a highly skilled Simulation Scientist to join our Amazon Logistics team. As a Simulation Scientist, you will play a key role in driving innovation across our Last Mile network by designing, developing, and simulating engineering solutions for complex material handling challenges.
Key Responsibilities- Design and develop simulation models to optimize material flow, process design, and ergonomics for the Last Mile network.
- Lead and coordinate simulation efforts to drive optimal solutions through equipment specification, material flow, process design, ergonomics, associate experience, operational considerations, and site layout.
- Work closely with internal teams to ensure that every detail is thought through and documented using Standard Operating Procedures and/or structured change control.
- Collaborate with vendors, suppliers, and other cross-functional teams to develop innovative solutions.
- Manage multiple projects and tasks while effectively influencing, negotiating, and communicating with internal and external business partners.
- Bachelor's degree in a relevant field.
- 2+ years of experience in data science, machine learning, or a related field.
- 3+ years of experience in data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.).
- Experience applying theoretical models in an applied environment.
- Experience in Python, Perl, or another scripting language.
- Experience in a ML or data scientist role with a large technology company.
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
We offer 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.
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