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Data Scientist II

2.00 to 5.00 Years   Chennai   04 May, 2020
Bundl Technologies Pvt Ltd
Job LocationChennai
EducationNot Mentioned
SalaryNot Disclosed
IndustryConsumer Durables / Electronics
Functional AreaSales / BD
EmploymentTypeFull-time

Job Description

Role Summary and Responsibilities :-

  • As a Data Scientist on the Location Intelligence team, you will be building models that helps Swiggy deliver food in a timely manner via better navigation and location data etc
  • You will work closely with world-class Engineering teams, Product Managers and Operations, to build a state-of-the-art system that deeply impacts Swiggy s business and customers.
  • Collaborate with engineering and design to define an ambitious strategy, develop and maintain a prioritized product backlog, and execute on delivering great experiences for Users.
  • Come up with multiple hypotheses based on data and drive experiments collaborating with Engg, Product, Analytics; as well as test the validity of hypothesis with sound statistical methodologies
  • Conceptualizing solutions and driving them to implementation around how to leverage location and sensor data - ex: point of interest, speed by road segment at a given instance, route optimization, navigation within complexes etc
Qualification:-
  • Experience with large scale ML datasets (100 GB ) for modeling is a must (Mandate)
  • Past experience working on geospatial data, maps, location intelligence etc is a plus
  • Experience with HMM, Kalman filter etc to solve map-matching, outlier treatment and associated problems
  • Hands-on coding experience in Machine Learning friendly languages like python and knowledge of open source ML/DL libraries is needed in order to implement the ideas into working proof-of-concepts (PoCs).
  • Using different location signals to derive inference and build intelligence into products/solutions
  • Experience with geo-spatial libraries etc- GDAL, PROJ, geoJSON, geoPanda is a plus
  • Previous experience with GoogleMaps, OSM (Open street maps) etc preferred
  • BE or Masters degree in computer science, software engineering, information technology, business, finance, economics or related fields
  • Should have 5 years of overall experience with 1 years of experience in geospatial, location intelligence, maps
,

Keyskills :
machine learningpython data analysissql analyticsitem response theory open sourcegeospatial data

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