Data Scientist II (ADBL175)

Amazon; Newark (NJ); On-site; USD 169,550 - 207,500; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

A prominent technology company seeks a Data Scientist II in Newark, NJ. The role involves applying data science techniques to develop scalable solutions for decision-making across the business. Candidates should have a Master’s degree in a relevant field and extensive experience with statistical and machine learning models, including Large Language Models. Benefits include health insurance, 401(k) matching, and paid time off.

Qualifications

• Requires a Master’s degree in a related field plus two (2) years of experience as a Data Scientist.
• Utilizing specialized modelling software including Python or R.
• Building production-ready solutions with Large Language Models.
• Experience in evaluating LLM results at scale.

Responsibilities

• Independently own, design, and implement scalable solutions.
• Communicate model outputs and KPIs to management.
• Build production-ready models with machine learning algorithms.

Skills

Python

R

Statistical modeling

Machine learning

Neural Nets

Deep Learning

Gradient Boosting

Large Language Models

SQL

ETL

Education

Master’s degree in Statistics, Computer Science, or related field

Bachelor’s degree and five (5) years of experience

Job description

Employer: Audible, Inc.
Title: Data Scientist II
Location: 1 Washington Street, Newark, NJ 07102

Duties

Independently own, design, and implement scalable and reliable solutions to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the approach is unclear. Acquire data by building the necessary SQL/ETL queries. Import processes through various company specific interfaces for accessing RedShift, and S3/edX storage systems. Deliver artifacts on medium size projects that affect important business decisions. Build relationships with stakeholders and counterparts, and communicate model outputs, observations, and key performance indicators (KPIs) to the management to develop sustainable and consumable products and product features. Explore and analyze data by inspecting univariate distributions and multivariate interactions, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build production-ready models using statistical modeling, mathematical modeling, econometric modeling, machine learning algorithms, network modeling, social network modeling, natural language processing, large language models and/or genetic algorithms. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production. Position reports to Newark, NJ office; however, telecommuting from a home office may be allowed.

Requirements

Requires a Master’s degree in Statistics, Computer Science, Computer Engineering, Data Science, Machine Learning, Applied Math, Operations Research, or a related field plus two (2) years of experience as a Data Scientist or other occupation involving data processing and predictive Machine Learning modeling at scale. Experience may be gained concurrently and must include:

Two (2) years in each of the following:

• Utilizing specialized modelling software including Python or R
• Building statistical models and machine learning models using large datasets from multiple resources
• Building non-linear models including Neural Nets, Deep Learning, or Gradient Boosting.

One (1) year in each of the following:

• Building production-ready solutions or applications relying on Large Language Models (LLM), accessed programmatically and beyond just prompting
• Evaluating LLM results at scale or fine-tuning LLMs
• Building production-ready recommendation systems
• Using database technologies including SQL or ETL.

Alternatively, will accept a Bachelor’s degree and five (5) years of experience.

Salary: $169,550 - 207,500 /year. Multiple positions. Apply online: www.amazon.jobs Job Code: ADBL175.

Benefits

Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

Equal Opportunity Employment

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.