Client Industry Food
Data Scientist
Remote
Interview Type (Phone, Video, Face to Face) Video
Anticipated Start (in weeks) 2
Must Haves
Degree in Mathematics or Statistics
* Strong proficiency with Python and SQL
* Strong foundation in statistics, probability, and applied mathematics
* Experience developing and validating statistical and machine-learning models
* Experience working with messy, sparse, imbalanced, or otherwise imperfect real-world datasets
* Strong understanding of experimental design, model validation, uncertainty, and appropriate performance metrics
* Ability to translate ambiguous scientific or business problems into testable quantitative approaches
* Experience working with multiple types of data, such as tabular, time-series, spatial, sensor, spectral, or image data
* Ability to independently investigate unfamiliar technical problems and determine the appropriate mathematical or statistical methodology
* Strong programming and general computer science fundamentals
* Ability to communicate complex technical concepts effectively with both technical and non-technical stakeholders
Experience in one or more of the following areas is beneficial but not required:
* Geospatial analysis
* Environmental or weather data
* Time-series modeling
* Computer vision
* Hyperspectral or spectral data
* Risk modeling
* Optimization
* Scientific computing
* Production engineering
Successful candidates should be able to clearly articulate:
* A challenging quantitative problem they personally worked through
* Why they selected a particular statistical or mathematical methodology
* How they assessed whether the available data were sufficient and appropriate
* How they validated their conclusions, models, or results
* How they accounted for uncertainty, limitations, assumptions, or imperfect data
* What they would have done differently with better data or additional time
