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The app that rewards all your commute & travel

Data Scientist

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What you’ll need:

● Master’s/PhD (preferred) or Bachelor’s (required) in CS/ML/AI or relevant computational/engineering discipline

Machine Learning/Data Science:
● Solid theoretical understanding of ML fundamentals: linear algebra, probability, statistics (as relevant to ML), optimization
● Knowledge of different ML techniques and when/how to use them: classification, regression, clustering, outlier detection, dimensionality reduction, etc.
● Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying, heterogeneous sources
● Experience with messy real-world data -- handling missing/incomplete/inaccurate data
● Proficient in the Python ML ecosystem: NumPy, Pandas, SciPy, Scikit-Learn
● Strong understanding of relational databases like PostgreSQL is a plus

Programming experience:
● At least 2+ years of experience writing production-quality Python code
● Version control: Git, GitHub/Bitbucket
● Experience delivering large-scale deployable projects

Great to have
● We deal with large volumes of geospatial data, so experience working with geospatial data at scale is a big plus
● Knowledge of Python (Shapely, GeoPandas, Fiona, CartoPy, etc) and/or database (PostGIS) geometry/geospatial tools
● Domain experience in building models for location-based services, transportation, scheduling, vehicle routing

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