Description

Are you passionate about inventing experiences that help customers discover ways to incorporate Generative AI in their daily lives? Do you want to work in a fast paced environment surrounded by the smartest and most customer obsessed product, engineering, marketing, and data science leaders on the planet, where the future is still to be defined? Alexa Customer Journeys team is looking for Data Scientist to help customers find new experiences on events they enjoy, with Alexa.

You will be working with machine learning, Large Language Model (LLM) and other generative technologies. You will be working with our interdisciplinary team of Data Scientists, Software Engineers and Product Managers to design customer-facing solutions with Alexa. You will take a central role in defining our experimental roadmap, sourcing training data, authoring annotation criteria and building automated benchmarks for the features.

Key job responsibilities

As a Data Scientist on this team, you will:

• Implement statistical methods to solve specific business problems utilizing code (Python, R, Scala, etc.).

• Drive design and development of user classification models and other predictive models to enable a personalized experience for a user.

• Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.

• Collaborate with product management, software developers, data engineering, and business leaders to define product requirements, provide analytical support, and communicate feedback; develop, test and deploy a wide range of statistical, econometric, and machine learning models.

• Build customer-facing reporting tools to provide insights and metrics which track model performance and explain variance.

• Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about our solutions, as well as sharing insights and recommendations.

• Earn the trust of your customers by continuing to constantly obsess over their needs and helping them solve their problems by leveraging technology

About the team

The Alexa Customer Journeys team builds products and technology that simplifies customers lives. Our products are used by millions of customer, across Amazon devices, WW. Our teams invent on behalf of our customers and have a ton of fun along the way!

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

Bellevue, WA, USA | Seattle, WA, USA

Basic Qualifications

• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

• 2+ years of data scientist experience

• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

• Bachelor's degree

• Experience applying theoretical models in an applied environment

Preferred Qualifications

• Experience in Python, Perl, or another scripting language

• Experience in a ML or data scientist role with a large technology company

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 $111,600/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.