Data Scientist, Global Mile

Key Skills

Data science techniques, ETL frameworks, Machine learning techniques, MATLAB Programming, Natural Language Processing (NLP), Perl Programming, Python Programming, R Programming, SAS, SQL

Job Description

Key job responsibilities

• Design and implement scalable and reliable approaches to support or automate decision making throughout the business.
• Apply a range of science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear.
• Build using statistical, mathematical, econometric, network, natural language processing, machine learning algorithms, genetic algorithms, and neural networks.
• Acquire by building the necessary / ETL queries.
• Establish scalable efficient, automated processes for large scale analyses, development, validation and implementation.
• Analyze for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies.
• Validate against alternative approaches, expected and observed outcome, and other business defined key performance indicators.
• Implement that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.
• Build relationships with stakeholders and counterparts.

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA

BASIC QUALIFICATIONS

• 2+ years of data scientist experience
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Experience applying theoretical models in an applied environment

PREFERRED QUALIFICATIONS

• Experience in Python, Perl, or another scripting language
• Experience in a ML or data scientist role with a large technology company

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $111,600/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.