Massachusetts Jobs

Description

We’re building the speech and language solutions behind Alexa. We’re working hard, having fun, and making history; come join us!

Amazon is looking for a Language Data Scientist to join our Language Science, Engineering and Research team. We are seeking a candidate with strong analytical skills, solid linguistics domain expertise, and Machine Learning experience to help us measure, analyze and solve complex problems. In this role, you are responsible for the design and delivery of LLM products using your linguistic, machine learning, and data analysis skills to understand what a customer meant. You are a key member in new feature development while proactively improving existing experiences. You work closely with linguists, scientists, engineers, and product managers, to deliver magical experiences that customers love.

Key job responsibilities

• Design, develop, and implement innovative NLP solutions to address large-scale qualitative and quantitative data needs

• Streamline the development and evaluation process for LLMs with a focus on customer requests (text, speech, etc.)

• Collaborate with engineers, scientists and linguists to ensure models are effective, accurate, and aligned with business goals

• Conduct research and stay current on the latest advancements in NLP and machine learning

• Analyze the interpret NLP model outputs, providing actionable insights to stakeholders

• Document and present findings in a clear and concise manner

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

Boston, MA, 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 diving into data to discover hidden patterns and of conducting error/deviation analysis

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

• Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.

• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

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 $125,500/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.