Job Description
Senior Research Scientist
Job ID: 2153435 | Amazon.com Services LLC
The AWS Human Resources Operations and Analytics organization is a critical piece of the AWS flywheel. We are the curators of people data for the industry leader in Cloud Computing. As pioneers in this space, we get to answer new and interesting problems in the People Analytics space, always at scale, and across a variety of business and technical leaders. Our data is sourced from a variety of internal and external sources. The work we do enables leaders to continue to make industry shaking decisions with the knowledge that they are doing so based on reliably sourced and responsibly secured data. We own systems and database environments which are built with reliability and security as the foundation on which balances accessibility, speed, scale, and insight generation. Our systems of self-service data today will quickly evolve into self-service insights in 2022 and beyond.
Research Scientists on this team have end-to-end range and capabilities. They work closely with stakeholders to define key business needs and deliver on commitments, retrieve and aggregate data from multiple sources, and compile it into a digestible and actionable format. They also gather and use complex data sets across domains, work closely with product managers, and lead the development of key machine learning features from development to deployment in a cross-functional team.
The successful candidate will create documents and share findings in line with scientific best practices for both technical and nontechnical audiences and occasionally present research result at internal and external conferences. They will also work closely with Amazon worldwide operations and the People, Experience, Technologies team to define key business objectives, metrics, and data science deliverables, as well as lead the development of key machine learning features from inception to production in an agile development environment.
BASIC QUALIFICATIONS
5+ Years of experience in data science/analysis/engineering/research
3+ Years of experience applying statistics/data science/machine Learning
5+ Years of scripting experience in Python/R or other scripting languages
2+ Years of SQL experience
Master’s Degree in Data Science, Computer Science, Information Systems, Data Analytics, or related scientific, technical, or engineering field
PREFERRED QUALIFICATIONS
Background in Industrial/Organizational Psychology, People Analytics, Talent Management, Geospatial Analyses
Expert-level knowledge of SQL
Working knowledge of AWS tech stack. Glue, Redshift, EMR, S3, EC2, Lambda will be used regularly in this role
Experience as a leader/mentor of data analytics resources
Experience documenting modeling for technical and business leaders
Experience working with data engineers/business intelligence engineers collaboratively
Experience in ETL Management/Data Pipeline experience
PhD in scientific, technical, or engineering field
The pay range for this position in Colorado is $159,200-215,3003./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 Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.
jobs based in Jersey City or US virtual jobs that could be performed in Jersey City
The pay range for this position in Jersey City is $175,100-$236,900/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.
Job details
US, Virtual
Support
Research Science