Amazon Jobs

Description

The Amazon Stores Finance Technology organization is looking for a results-oriented Applied scientist to work on the next generation of product/tools to increase financial process efficiency. We build products for planning, reporting and use artificial intelligence (AI) to provide insights from the data. Our ideal candidate thrives in a fast-paced environment, relishes working with data, enjoys the challenge of highly complex business contexts. Come and build with us the next-gen products that could revolutionize financial operations. We are working on a new product that could revolutionize the way data analytics is done using LLMs.

Key job responsibilities

We are seeking for an experienced Applied scientist to lead LLM based development and data analytics and assist in decisions made by Amazon Finance users. In a fast-paced and ambiguous environment, you will perform multiple large, complex, and business critical analyses that will inform product design and business priorities. You will design and build AI based science solutions to transform the analytics landscape.

Keeping a department-wide view, you will focus on the highest priorities and constantly look for scale and automation, while making technical trade-offs between short term and long-term needs. With your drive to deliver results, you will quickly analyze data and understand the current business challenges to assess the feasibility of different science projects as well as help shape the analytics roadmap of the Data Science and Analytics team. Your desire to learn and be curious will help us look around corners for improvement opportunities and more efficient metrics development.

In this role, you will partner with data engineers, business intelligence engineers, product managers, software engineers, and other data scientists.

A day in the life

You are a Applied Scientist with an expertise in Machine learning and statistical models. You are comfortable with a higher degree of ambiguity, knows when and how to be scrappy, build quick prototypes and proofs of concepts, innate ability to see around corners and know what is coming, define a long-term science vision, and relish the idea of solving problems that haven’t been solved at scale. As part of our journey to learn about our data, some opportunities may be a dead end and you will balancing unknowns with delivering results for our customers. Along the way, you’ll learn a ton, have fun and make a positive impact at scale.

About the team

Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), Earth's most customer-centric company and one of the world's leading internet companies. We provide a highly customer-centric, and team-oriented environment.

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

Seattle, WA, USA

Basic Qualifications

• 3+ years of building machine learning models for business application experience

• PhD, or Master's degree and 6+ years of applied research experience

• Experience programming in Java, C++, Python or related language

• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

• Experience with large scale distributed systems such as Hadoop, Spark etc.

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 $150,400/year in our lowest geographic market up to $260,000/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.