DESCRIPTION

Job summary
Come join the team that's won two Just Do It Awards and was recently featured during the April All Hands. Amazon's People Experience and Technology (PxT) Solutions team is seeking a Data Scientist to build machine learning and statistical models, using our world class data systems, to identify patterns in people data. The ideal candidate will thrive and have demonstrated success in an environment which offers ambiguously defined problems, big challenges, and quick changes. This role goes beyond just model generation and you will be expected to integrate the results of the models into our world class web portal.An ideal has extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval.

BASIC QUALIFICATIONS

· Bachelors Degree with 5 years of experience
· Experience in SQL and R, or Python
· Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval.
· Track record of diving into data to discover hidden patterns and of conducting error/deviation analysis
· Knowledge of various machine learning techniques and key parameters that affect their performance
· Experience developing experimental and analytic plans for data modeling processes, using strong baselines, and determining cause and effect relations
· Evidence of using of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects
· Excellent written and verbal communication skills for both technical and non-technical audiences

PREFERRED QUALIFICATIONS

A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
· 10+ years of experience working in data science in a consumer product company.
· 5+ years of experience managing Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, and/or Economists.
· Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval, XGBoost, LightGBM, ElasticNet.
· Skilled with Java, C++, or other programming language, as well as with R, SAS, MATLAB, Python or similar scripting language.
· Functional knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker.
· Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.
· Advanced knowledge and expertise with Data modelling skills, Advanced SQL with Oracle, MySQL, and Columnar Databases.
· Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes.



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.