Job description

Bachelor’s or Master’s degree in a quantitative field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics
2+ years of relevant working experience in an analytical role involving data extraction, analysis, and communication
2+ years of experience with data querying languages (e.g. SQL, Hadoop/Hive) and statistical/mathematical software (e.g. R, Python, Matlab, Stata)

Job summary
AWS is looking for a Data Scientist to help develop sophisticated algorithms and models that involve analyzing and learning from over 540 billion customer cost, usage, and utilization events daily. We use this data to generate recommendations and forecasts for customers to help them better understand and optimize their AWS costs and usage and reduce the complexity of managing their cloud costs. Our team's vision is to be the world's authoritative provider of AWS computing insight, where customers can understand, control and optimize usage of AWS products.

As a successful data scientist in AWS, you will be responsible for understanding and mining the large amount of data, and developing recommendations that will help improve the accuracy and relevance of our forecasting and recommendations models. You will work closely with talented data scientists, software engineers, and business groups to build enhance existing models and build new models that solve challenging customer problems. You will work with the engineers to drive implementation of the proposed models and establish testing strategies to validate the models before and after they are put into production. On top of that, you are an analytical problem solver who enjoys diving into data, are excited about investigating and developing algorithms, and can influence technical teams and business stakeholders to solve real-world customer problems.

Key job responsibilities

Improving upon existing forecasting statistical or machine learning methodologies by developing new data sources, testing model enhancements, running computational experiments, and fine-tuning model parameters for new forecasting models

Supporting decision making by providing requirements to develop analytic capabilities, platforms, pipelines and metrics then using them to analyze trends and find root causes of forecast inaccuracy

Formalizing assumptions about how demand forecasts are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them

Translating forecasting business requirements into specific analytical questions that can be answered with available data using statistical and machine learning methods; working with engineers to produce the required data when it is not available

Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations

Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical and machine learning models and algorithms

Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data
Superior verbal and written communication skills with the ability to effectively advocate technical solutions to scientists, engineering teams and business audiences
Proven ability to convey rigorous technical concepts and considerations to non-experts
Fluency in a scripting or computing language (e.g. Python, Scala, C++, Java, etc.)
Depth and breadth in quantitative knowledge. Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools.
Combination of deep technical skills and business savvy to interface with all levels and disciplines within our and our customer’s organizations
Experience in forecasting and time series is a plus

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.

The base pay range for this position in Colorado is $136,000 - 184,000 (yr). Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Amazon's internal or external careers site.

The pay range for this position in Jersey City is $153,400 - 207,500 (yr); however, base pay offered
may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and
restricted stock units may be provided as part of the compensation package, in addition to a
full range of medical, financial, and/or other benefits, dependent on the position offered.
This information is provided per the Pay Transparency Regulation of Jersey City Municipal
Code. Base pay information is based on market location. Applicants should apply via
Amazon's internal or external careers site.

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.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.

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