Manager, Applied Science – Sustainability, Sustainability Science and Innovation

DESCRIPTION

Job summary
Are you passionate about making the world a better place, and doing so by leveraging technology and at scale to innovate and drive better decision making? The Sustainability Science and Innovation (SSI) team is looking for an experienced Science Manager to join our team. We are an interdisciplinary team driving sustainability research forward in ways that only Amazon can, and building Day One sustainability solutions to solve some of the toughest problems at Amazon. SSI is a team of scientists from environmental and machine learning backgrounds answering core sustainability questions for the larger organization and working across the company to develop solutions to long term environmental and social hotspots.
This is a unique opportunity for someone who wants to come show their passion for sustainability, solving customer problems and working on a high-performing team that includes many world-leading experts in their fields.

The Role:
You will lead an interdisciplinary team of scientists as we scale environmental assessment models through the application of machine learning. Accordingly, a background in either LCA and/or Machine Learning is beneficial. You will be responsible for the models used to scale and assess environmental and social issues across Amazon, evaluating the sustainability impacts of supply chains, from manufacturing, to transportation, to consumer use, to end-of-life.

The ideal candidate will have industry experience deploying machine learning models to drive business impact in fields such as NLP, product recommendation and computer vision. The candidate should have familiarity with LCA methods and applications. This candidate will also possess excellent communication, negotiation and influencing skills to drive consensus across multiple stakeholders. In addition, the successful candidate will have strong analytical skills and the ability to apply systems thinking to complex, fast moving problems. The candidate should be comfortable working with imperfect data, identifying sources of uncertainty, and finding public data to fill the gaps where needed. Amazon’s culture encourages innovation, and the candidate should be comfortable working in cold start scenarios in order to push the envelope on the hard to solve environmental and social issues.

Key job responsibilities
Manage sustainability-related research projects through all stages: ideation, modeling, data collection, data analysis, data visualization, and reporting.
Develop tools and methods to harvest and continuously update data to provide sustainability insights at scale.
Respond to time critical questions from multiple business teams.
Professionally communicate to senior business leaders.
Work closely with software engineering teams to drive real-time model implementations and new feature creations.
Lead the early investigative / inception phase of strategic sustainability initiatives and effectively influence, negotiate, and communicate with stakeholders to enable hand off of those projects for implementation.

BASIC QUALIFICATIONS

• PhD (OR Master’s Degree plus 10+ years of industry or academic research experience) in Engineering, Technology, Computer Science, Machine Learning, Robotics, Operations Research, Statistics, Mathematics or a related quantitative field
• 3+ years of experience building machine learning models or developing algorithms for business application.
• 1+ years of experience programming in Java, C++, Python or related language and/or Machine Learning
• 3+ years of experience directly managing scientists and/or machine learning engineers

2+ years academic experience in environmental science or engineering, industrial ecology, industrial or mechanical engineering, or related fields
2+ years industry research experience conducting sustainability research and/or driving sustainability improvements.
Experience with sustainability foot printing and/or building and using Life Cycle Assessment (LCA) models.
Competence in statistical analysis, databases and mathematical modeling.
Ability to work on a diverse team or with a diverse range of coworkers.

PREFERRED QUALIFICATIONS

Experience with LCA data sources and commercially available tools.
Published a peer-reviewed LCA study or report (e.g. thesis/dissertation, journal article, Environmental Product Declaration (EPD), etc.
Experience building scalable analytics, models, and applications.
Experience with AWS features (S3, Redshift) is a plus.
Ability to write well-structured, easily maintainable, and well-documented code and desire to improve by iterating on code through peer review.
Experience working with big, messy datasets and deriving inferences from them.
Broad experience applying data-driven decision making across multiple industries.
Strong drive to question the status quo and learn new topics and skills.
Excellent written and verbal communication skills.

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