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Key job responsibilities
- Oversee multiple model development programs in various stages of the lifecycle, from conception to development, to launch, expansion, and retirement.- Lead and direct engineering of massive datasets, effective exploratory data analysis, and model building using industry standard AI/ML models.- Partner with engineering teams to define data logging requirements and getting these prioritized in engineering roadmaps.- Innovate by adapting new modeling techniques and procedures.Design A/B tests and conduct statistical analysis on their resultsMentor junior engineers and scientistsA day in the life
- 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- 6+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- Experience with machine learning and emerging modeling methods.
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