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As a Senior Data Scientist on the team, you will lead building data science solutions end-to-end and collaborate with other scientist team members. You can deliver independently on ambiguous and large-scale problems. You will leverage your statistical and machine learning knowledge to address specific business problems. You will retrieve, understand, analyze, and present critical data and insights and communicate (verbal and written) to your partner engineers, scientists, product managers, and leadership to identify business opportunities, support decision making, and drive product innovations.Seattle, WA, USA
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Experience working with scientists, economists, software developers, or product managers
- Experience working with data engineers and business intelligence engineers collaboratively
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive)
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