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Data Scientist

Location Bengaluru, India
Posted 31-May-2019
Description
Job description :

Role & Responsibilities:
Collaborate Closely with Data Scientists and Business Analysts / City Head to understand data and functional requirements.
Design and Build data pipelines to standardise, clean and ingest data.

Learn, adapt and implement new technologies to improve data ecosystem and overall data health. What is needed:
Strong problem solving skills with an emphasis on product development.
Were looking for someone with 3-9 years of experience manipulating data sets and building statistical models has a Masters or PHD in Statistics Mathematics Computer Science or another quantitative field and is familiar with the following software or tools:
Coding knowledge and experience with several languages: C / C++/ Java
Knowledge and experience in statistical and data mining techniques: GLM or Regression Random Forest Boosting Trees text mining social network analysis etc.
Experience querying databases and using statistical computer languages: R SAS Python SQL etc.What is good to have :
Working experience on Cloud Environment preferably AWS.
Working Experience in Agile environment.
Exposure to notebook tools like Jupyter and Zeppelin Working Experience on reporting and dashboard tools.
Background
Advanced Degree or equivalent experience with a focus in one or more areas involving Mathematics, Physics, Computer Science, Probability Modelling, Machine Learning, Algorithm Design, Computational Finance, or Bioinformatics
Background in mobile or e-commerce data is a plus.

Salary: Not Disclosed by Recruiter

Industry: IT-Software, Software Services

Functional Area: Analytics & Business Intelligence

Role Category:Analytics & BI

Role:Data Analyst

Employment Type: Permanent Job, Full Time

Desired Candidate Profile Experience : 4yrs to 12 yrs

BE / MCA

Education-

UG: B.Tech/B.E. - Any Specialization, B.Sc - Maths, Physics, Computers

PG:MCA - Computers

Doctorate:Doctorate Not Required

Company Profile:

Quick Ride

'Growing population lead to more vehicles on road thus increasing traffic congestion and pollution.

Shared mobility is the future. Traditional carpooling was not successful due to challenges involved such as Security, Unpredictable timings and Coordination issues. Quick Ride addressed the challenges elegantly with world class user experience. It helps to identify matches, connect instantly, communicate and share costs in cashless way.'
Experience
Min 4 to 9 Years.

 
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