MULTIPLE POSITIONS AVAILABLE
Entity: Amazon.com Services LLC, an Amazon.com company
Title: Data Scientist II
Location: Seattle, WA
Manage metrics reporting, perform data mining and big data analysis, to provide strategic advice on business and improve processes and systems. Collect business use cases, research and evaluate opportunities, and leverage data to support business functions through advanced mathematical modeling. Independently own and solve business problems. Transform business problems into mathematical models, provide data-driven solutions, and write clear and factually correct documents explaining technical concept to non-technical audience. Gather and use complex data sets across domains and proactively gather data when not readily available. Use specialized modelling software and scripting languages to scale methods. Partner with business, science, and engineering to establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. Building and tuning machine learning models.
Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000
Master's degree or foreign equivalent Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, as a machine learning specialist, or in a related occupation. Employer will accept a Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): using database technologies, including SQL, ETL or Oracle; processing large, multi-dimensional datasets from multiple sources including Kibana, OBIEE, Datanet or equivalent data extraction tool; performing statistical analysis; building and tuning machine learning models; developing automated reporting; and maintaining data integrity to ensure accuracy in database systems.
Please see job description and position requirements above.