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Near

Near is the largest location intelligence platform providing real-time information on places, people and products.

Data Scientist
San Francisco, CA, US
Bangalore, IN
Job Description / Skills Required

Tasks include
Developing “core” data science models that power the Near Location Intelligence Platform and its associated products
Data types include structured and unstructured data in multiple formats (text,audio,video) spanning multiple domains including user profile data, geo-spatial data, network data and retail data
Model development including data cleanup, model building and testing
Working closely with the Engineering team to “operationalize” and deploy the models
Mentoring Near’s data science teams globally
Skills
Familiar with Model development lifecycle, data wrangling/munging in Python, Java, R, Clojure
Good expertise with basic probability/stats, stochastic processes, p-values and more
Basic ML models - NaiveBayes, LogisticRegression, SVM - Classifier development, Clustering, basic matrix ops - MF, PCA and more
Background in OR, Numerical analysis, Optimization, Linear/Non-linear/Integer programming, Statistics, Combinatorial optimization is a plus
Familiarity with R, ApacheSpark, Mahout is a plus
Needs to be comfortable writing code for model building and bootstrap, test and own models through their lifecycle