Sr. Data Scientist, Kuiper

Job ID : 2711149 Amazon Kuiper Manufacturing Enterprises LLC

Have you ever wanted to be part of a team that is building industry changing technology? Amazon’s Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband network connectivity to unserved and underserved communities around the world.

For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on.

The Kuiper Business Solutions team owns a suite of products and services to operate and scale Kuiper.

We are looking for a passionate, talented, and inventive Data Scientist with a background in AI, Gen AI, Machine Learning, NLP, to lead delivering best in class automated customer service and business analytic solutions for Kuiper Customer Service.

As a Data Scientist, you will be responsible for the development, fine-tuning, and evaluation of AI models that power our chatbot and IVR solutions.

Your work will ensure the chatbot and IVR is accurate, reliable, and continually improving to meet customer needs. This role involves collaborating with cross-functional teams to integrate AI solutions into our customer service platform, monitor their performance, and implement ongoing enhancements.

The ideal candidate has experience in successfully building chat bots using AI technologies, measuring their performance and delivering ongoing improvements.

Export Control Requirement :

Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.

e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Key job responsibilities

• Build and validate data pipelines for training and evaluating the LLMs
• Extensively clean and explore the datasets
• Train and evaluate LLMs in a robust manner
• Design and conduct A / B tests to validate model performance
• Automate model inference on AWS infrastructure

BASIC QUALIFICATIONS

5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical / mathematical software (e.

g. R, SAS, Matlab, etc.) experience

• 4+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression
• Advanced degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• Previous experience with synthetic data generation or data augmentation techniques.
• Experience in LLM finetuning, pretraining, testing, and prompt engineering.
• Experience building machine learning models or developing algorithms for business application

PREFERRED QUALIFICATIONS

• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team

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 $143,300 / year in our lowest geographic market up to $247,600 / 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.

Posted : May 9, 2024

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