Description

　　Join us at the cutting edge of Amazon's sustainability initiatives to work on environmental and social advancements to support Amazon's long term worldwide sustainability strategy. At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people.

　　We are looking for a lead Life Cycle Assessment (LCA) researcher to join our growing Sustainability team.

　　As a lead Life Cycle Assessment (LCA) researcher, you will be responsible for leading assessments of environmental issues across the full spectrum of Amazon businesses and evaluating the sustainability impacts across the value chain. The ideal candidate will have strong industry experience modeling complex systems, developing LCAs and emission factors (EFs), collecting and analyzing data, and reporting results to leaders through visualizations and metrics. The candidate must be experienced working with imperfect data, and quantifying and identifying sources of uncertainty.

　　The successful candidate must have strong math skills and the ability to apply systems thinking to complex, fast moving problems. The candidate must have strong working-knowledge of scientific methods and international standards (GHG Protocol, ISO), with extensive experience using Ecoinvent, GaBi, and USEEIO databases.

　　This candidate will also work under the direction of senior business leaders, but will act as lead Subject Matter Expert for all LCA-related analyses at Amazon, including designing and leading research, data collection, modeling, documentation, interpretation, and validation

　　Key job responsibilities

　　Create and maintain ambiguous and/or complex LCA methodologies and models, including experimentation of footprint methods

　　Develop documentation for validations and assurance purposes

　　Ideate the creation and interpretation of innovative and novel methods and standards

　　Audits and performs validations of methodologies or complex models for use in Amazon’s Corporate Carbon Footprint

　　About the team

　　Here at Amazon, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

　　Work/Life Balance:

　　We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

　　Mentorship and Career Growth:

　　We have a career path for you no matter what stage you’re in when you start here. We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

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

　　Arlington, VA, USA | San Francisco, CA, USA | 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

　　Knowledge of R or Python

　　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.

　　Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

　　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.