DESCRIPTION
Job summary
If you love solving problems, truly enjoy collaboration and long to be a part of a team that lives and breathes employee experience… then read on. We’re delighted to be on the hunt for another excellent human to join our team as an Experience Data Scientist.
The Experience Data Scientist is a member of our design team, contributing to every part of our process: research scoping, design, communication, framework development, stakeholder relationship development, and project management.
We count on the data scientist to guide the team in how data should (or shouldn’t!) play a role in what we’re researching, provoke discussions about the experiments we can run, help design compelling data visualizations, and bring their expertise in telling a story through data and other algorithms.
Key job responsibilities
· Center your work on people. We go to work because we want to improve employees’ lives through research and design. You’ll talk with and work alongside the people our research affect, to develop a deep understanding of their needs and their context and develop solutions.
· Experiment and iterate. Our work often requires quick iteration and experimentation. You’ll perform data analysis, create visualizations/simulations, and implement statistical/machine learning/optimization algorithms — learning new techniques and tools as necessary.
· Navigate a variety of data sources. Such as interview data, qualitative data, badge data, workplace surveys, focus groups, and/or external data sources.
· Collaborate with colleagues. We’re a passionate and creative community from a variety of backgrounds: communications, recruiting, HR, economics, psychology, legal, and more. You’ll learn from people from a uniquely broad variety of backgrounds and translate concepts between them.
· Excellence in qualitative reasoning. You understand what data can and can’t tell us, can communicate that to others, and conceptually understand when to apply particular quantitative techniques.
· Coding generalists. You are fluent at writing code to wrangle, analyze, and visualize data, as well as implementing algorithms in code (but don’t necessarily need to know about production software engineering).
About the team
The Employee Relations team is responsible for reducing risk to the business by deploying programs to empower the next generation of high-performing, employee-centric frontline leaders. Our programs are global in scale and we continually innovate to transform and improve the employee experience.
BASIC QUALIFICATIONS
· Bachelors degree
· 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
· 2 years working as a Data Scientist
· Exceptional written and verbal communication skills.
PREFERRED QUALIFICATIONS
· Master's or PhD in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with at least three years of working experience as a Data or Research Scientist.
· Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects.
· Demonstrable track record of dealing well with ambiguity, ability to self-motivate, prioritizing needs, and delivering results in a dynamic environment.
· Experience using Amazon technologies – Redshift, Sagemaker, Athena, S3, EC2, QuickSight, etc.
· Skilled with Python, Java, C++, or other programming language, as well as SQL or similar scripting language.
· Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing.
The base pay range for this position in Colorado is $ 119,300 - 160,000 a year; 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.
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.