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A day in the life
In this role, you'll support new technologies looking for decision-making support and deep root cause analysis. These technologies will be in alpha/beta phases and have a start-up mentality of heavy Bias for Action, Ownership, and Customer Obsession.1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
- 1+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 1+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3+ years of professional or military experience
- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
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