Senior Language Data Scientist, Alexa Customer Journeys

4 weeks ago


Vancouver, British Columbia, Canada Amazon Full time
Sr. Language Data Scientist, Alexa Customer Journeys

We are seeking a highly skilled Sr. Language Data Scientist to join our Alexa Customer Journeys team. As a key member of our team, you will play a critical role in driving the design of Alexa features and generating high-quality data to run and evaluate experiments. Your expertise in Natural Language Processing, Machine Learning, or Large Language Models will be essential in handling large data sets and analyzing processes for collecting and annotating LLM inputs and outputs.

Key Responsibilities:

  1. Collaborate with Scientists and Software Engineers to design APIs and evaluate performance of LLM.
  2. Produce and manipulate different types of language data, analyze, and provide efficient solutions.
  3. Design and lead data collection efforts, define scope and target, provide guidelines and training, and run evaluations of data for handoff.
  4. Engineer prompts to guide generative AI to produce desired outputs in context.
  5. Automate operations and perform data analysis using Python or other scripting languages.
  6. Advocate strict adherence to annotation guidelines.
  7. Test and deploy changes to Alexa's language understanding codebase.
  8. Identify and solve production issues impacting the Alexa customer experience.
  9. Collaborate with linguists, scientists, and designers to create optimal solutions elevating the customer experience.
  10. Own customer-facing machine learning and deterministic models for specific domains of features.
  11. Use modeling tools to bootstrap and test new functionalities.

BASIC QUALIFICATIONS:

  1. Bachelor's degree in operations research, applied mathematics, theoretical computer science, or equivalent.
  2. 4+ years of data scientist or similar role involving data extraction, analysis, statistical modeling, and communication experience.
  3. Experience in Python or another scripting language.
  4. Experience in Natural Language Processing, Machine Learning, or Large Language Models.
  5. Practical knowledge of version control and agile development.
  6. Excellent communication, strong organizational skills, and detail-oriented.
  7. Comfortable working in a fast-paced, highly collaborative, and dynamic work environment.
  8. Ability to work in a fast-paced and rapidly-changing environment.
  9. Experience managing multiple competing priorities and projects.
  10. Experience with reporting tools like Tableau or other BI packages.

PREFERRED QUALIFICATIONS:

  1. Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
  2. Experience as a leader and mentor on a data science team.
  3. Experience using very large datasets.
  4. Knowledge of scripting for automation (e.g., Python, Perl, Ruby).
  5. Familiarity with Java for debugging and following code.

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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

The base salary for this position ranges from $143,200/year up to $239,100/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.

Posted: August 14, 2024 (Updated 9 days ago)



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