Data Scientist – WW Consumer HR
Job title: Data Scientist – WW Consumer HR
Company: Amazon
Job description: The Organizational Research and Measurement team conducts research supporting all Amazon corporate employees. Our goal is to build talent systems to enable employees to thrive at Amazon. We focus on the entire employee life-cycle to improve both business and employee outcomes. This entails doing longitudinal survey research, organizational network analysis, experimental and quasi-experimental studies for causal inference, building services that plug-in to other tools, and providing general consultation to stakeholders. We aim to improve the outcomes of our business and employees by doing cutting edge social science research.
The Role:
As a Data Scientist at Amazon, your main focus will be on developing predictive models, simulation, visualization, and support structures for data analysis.
Basic Qualifications
- Bachelor’s 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
- Proficient in machine learning and data science workflows (e.g., regression modeling, forecasting techniques, time series analysis, machine-learning concepts such as supervised and unsupervised learning, classification, random forest, LightGBM); obtained from previous work experience or through a Master’s degree or higher (e.g., Business Analytics, Data Science, Statistics, Mathematics, Engineering, Computer Science, or related analytical disciplines.)
- 3+ years conducting end-to-end data science in an applied setting.
- Proficient with SQL and at least one scripting language (e.g., R, Python).
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://ift.tt/395YELS.
Expected salary:
Location: Seattle, WA
Job date: Mon, 22 Feb 2021 08:42:53 GMT
Apply for the job now!
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