Data Scientist II (ADBL175)

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.

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.

Qualifications

• Basic Qualifications: 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.
• Preferred Qualifications: Please see job description and the position requirements above.

Benefits

• 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.

Pay

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

Job Code: ADBL175.