Not disclosed
 3 - 5 Years
Opening(s) :  1
Posted : 71 days ago
Job Description

Tasks include

Developing core data science models - that power the Near Location Intelligence Platform and 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 Nears data science teams globally

Desired 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 a plus
Need to be comfortable writing code for model building and bootstrap, test and own models through their lifecycle

Functional Area


Recruiter Information

Name : HR

Contact : Not disclosed

About Company

Near is the largest location intelligence platform providing real-time information on places, people and products. The Near platform powers Allspark, its flagship product enabling customers to visualize, engage and analyze audience data including their location and behaviour for data-driven decisions