Sr. Research Scientist (Simulation), WWDE-IDEAS

Key Skills

Algorithms, Data Analysis, Data Modeling, Data science techniques, Design, Effective communication skills, Machine learning techniques, Optimization

Job Description

We are seeking a Sr. Simulation Scientist to assist in designing and optimizing the fulfillment network concepts and process improvement solutions using discrete event simulations for our World Wide Design Engineering Team.

Successful candidates will be visionary technical expert and natural self-starter who have the drive to apply simulation and optimization tools to solve complex flow and buffer challenges during the development of next generation fulfillment solutions. The Simulation Scientist is expected to deep dive into complex problems and drive relentlessly towards innovative solutions working with cross functional teams. Be comfortable interfacing and influencing various functional teams and individuals at all levels of the organization in order to be successful. Lead strategic modelling and simulation projects related to Digital Twin, optimization, integrate machine learning into simulation models etc. to drive process design decisions. Need based remote work option is available.

Responsibilities:

• Lead the design, implementation, and delivery of the simulation data science solutions to perform system of systems discrete event simulations for significantly complex operational processes that have a long-term impact on a product, business, or function using FlexSim, Demo 3D, AnyLogic or any other Discrete Event Simulation (DES) software packages
• Lead strategic modelling and simulation projects related to Digital Twin, optimization, integrate machine learning into simulation models etc. to drive process design decisions
• Be an exemplary practitioner in simulation data science discipline to establish best practices and simplify problems to develop discrete event simulations faster with higher standards
• Identify and tackle intrinsically hard process flow simulation problems (e.g., highly complex, ambiguous, undefined, with less existing structure, or having significant business risk or potential for significant impact
• Deliver artifacts that set the standard in the organization for excellence, from process flow control algorithm design to validation to implementations to technical documents using simulations
• Be a pragmatic problem solver by applying judgment and simulation experience to balance cross-organization trade-offs between competing interests and effectively influence, negotiate, and communicate with internal and external business partners, contractors and vendors for multiple simulation projects
• Provide simulation data and measurements that influence the business strategy of an organization. Write effective white papers and artifacts while documenting your approach, simulation outcomes, recommendations, and arguments
• Lead and actively participate in reviews of simulation data science solutions. You bring clarity to complexity, probe assumptions, illuminate pitfalls, and foster shared understanding within simulation data science discipline
• Pay a significant role in the career development of others, actively mentoring and educating the larger simulation data science community on trends, technologies, and best practices
• Use advanced statistical /simulation tools and develop codes (python or another object oriented language) for data analysis , simulation, and modeling algorithms
• Lead and coordinate simulation efforts between internal teams and outside vendors to develop

optimal solutions for the network, including equipment specification, material flow control logic, process design, and site layout

• Deliver results according to project schedules and quality

Key job responsibilities

• You influence the scientific strategy across multiple teams in your business area. You support go/no-go decisions, build consensus, and assist leaders in making trade-offs. You proactively clarify ambiguous problems, scientific deficiencies, and where your team’s solutions may bottleneck innovation for other teams.

A day in the life

The dat-to-day activities include challenging and problem solving scenario with fun filled environment working with talented and friendly team members. The internal stakeholders are IDEAS team members, WWDE design vertical and Global robotics team members. The team solve problems related to critical Capital decision making related to Material handling equipment and technology design solutions.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

BASIC QUALIFICATIONS

• 3+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
• PhD, or Master's degree and 5+ years of quantitative field research experience
• Experience communicating qualitative research methods and findings to non-qualitative researchers

PREFERRED QUALIFICATIONS

• Experience converting research studies into tangible real-world changes
• Experience with discrete and continuous optimization methodologies and algorithms

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,300/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. Applicants should apply via our internal or external career site.