Data Scientist II (ADBL175)
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Job Location:
Newark, DE - USA
Yearly Salary:
$ 169550 - 207500
Posted on:
23 hours ago
Vacancies:
1 Vacancy
Job Summary
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 Masters 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 Bachelors degree and five (5) years of experience.
Salary: $169550 - 207500 /year. Multiple positions. Apply online: Job Code: ADBL175.
Requirements: Requires a Masters 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 Bachelors degree and five (5) years of experience.
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.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 Masters 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 Bachelors degree and five (5) years of experience.
Salary: $169550 - 207500 /year. Multiple positions. Apply online: Job Code: ADBL175.
Requirements: Requires a Masters 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 Bachelors degree and five (5) years of experience.
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.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. 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 NJ Newark - 153400.00 - 207500.00 USD annually
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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