Early Career Applied Scientist, Customer Forecasting and Valuation

Job title: Early Career Applied Scientist, Customer Forecasting and Valuation

Company: Amazon

Job description: DESCRIPTIONApplied Scientists in CBA work collaboratively with other Scientists and Engineers across teams to build causal and machine learning models to support business decision making. You will contribute to and maintain a highly scalable data and modeling pipeline infrastructure, and also work closely with business stakeholders to translate requirements into ML and software products. We are looking for individuals with a strong interest in learning and researching new methodologies to maximize customer impact in a highly ambiguous and challenging problem space. Prior experience with building machine learning and AI systems is required, as is a solid understanding of the fundamentals of statistics and standard methods in ML and deep learning. Candidates should possess strong software engineering skills and several years of industry experience. Experience with distributed computing environments, AWS, Spark/PySpark, and prior domain experience in causal inference and experimentation is highly preferred.A day in the life
Inclusive Team Culture
Here at Stores, 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.Diverse Experiences
We value diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
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.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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.About the team
We are a team dedicated to delivering transformative, science-driven agentic big data processing experiences for Amazon customers and having fun doing so. Our leadership team fosters an inclusive team culture and encourages work-life balance to bring out the best in each team member. Collaboration and mentorship are key tenets of our fabric. We are a growing team dedicated to supporting new members achieve their aspirations.BASIC QUALIFICATIONS– Experience building models for business application experience
– PhD, or Master’s degree, and CS, CE, ML or related field experience
– Experience programming in Python or related languages
– Experience with distributed computing frameworks such as Spark
– Experience in the following areas: algorithms and data structures, numerical optimization, high-performance computing, inferential/Bayesian statisticsPREFERRED QUALIFICATIONS– Experience in professional software development
– Experience with generative AI, LLMs
– Experience with large-scale statistical modeling, causal inference, causal machine learning and applied econometrics
– Patents or publications at top-tier peer-reviewed conferences or journalsAmazon 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 you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Expected salary:

Location: Seattle, WA

Job date: Sat, 05 Jul 2025 07:07:23 GMT

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