Data Scientist II (ADBL175)

Audible; Newark (NJ); Hybrid; USD 170,000 - 208,000; Full time

Job summary

Audible, Inc. is seeking a Data Scientist II to independently design and implement scalable data solutions that support business decisions.

You will apply statistical and machine learning methods to large data sources, build production-ready models, and communicate observations and KPIs to management. The role requires strong proficiency in Python or R, SQL/ETL, and experience with data platforms such as RedShift and S3.

Qualifications

• Master’s degree in Statistics, CS, or related field plus 2 years of data science/ML experience.
• Experience with Python or R for modelling.
• Experience building production-ready ML models.

Responsibilities

• Own, design and implement scalable data solutions to support decision making.
• Build and evaluate models using large datasets and multiple resources.
• Communicate model outputs and KPIs to management for decision making.

Skills

Python

R

SQL

ETL

Statistical modeling

Machine learning

Education

Master’s degree in Statistics

Master’s degree in Computer Science

Bachelor’s degree + 5 years experience

Tools

RedShift

S3

edX storage

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.

BASIC QUALIFICATIONS

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:

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.

PREFERRED QUALIFICATIONS

Please see job description and the position requirements above.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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Company - Audible, Inc.

Job ID: A3185135