Data Scientist - Big Data/Hadoop/Python/R

HRbuz
  • Bangalore
  • Confidential
  • 3-7 years
  • 386 Views
  • 09 Oct 2015
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  • IT/ Information Technology, Business Analytics

  • IT/ Technology - Software/ Services
Job Description

RESPONSIBILITIES :

- Work as a data scientist to solve big data problems with connected car / telematics data

- Build ground up core analytics offerings and shape the analytics roadmap in our startup

- Identify automotive customers- need and address the same by building advanced analytics products using available data

- Design and perform statistical analysis on various data sets small and large, structured/unstructured, and develop efficient and reliable algorithms to answer business requirements

- Establish scalable and efficient processes for large scale data analyses, model development, validation and implementation

- Design and build technical solutions for deployment of identified algorithms

- Contribute to the IP portfolio of the company in the form of patents, whitepapers, blogs,

- Mentor and develop junior staff and peers

REQUIREMENTS :

- Passion for all things automotive or driving related would be essential

- Masters (or PhD) in Mathematics, Computer Science, Statistics or related fields preferred. Alternately educational background in Mechanical / automotive engineering with hands-on experience in data science would also be suitable

- Strong background in Statistics and/or Machine learning, predictive modelling and analytics for engineering / industrial / M2M applications desirable

- Practical experience with data analysis and understanding data

- Practical experience with building statistical and/or machine learning models

- Data analysis - hypothesis testing, Bayesian methods, regression analysis

- Machine learning (supervised and unsupervised learning, regression/classification/clustering etc.)

- Time series and spatio-temporal modelling, Design and analysis of algorithms

- Strong programming experience (R/Python) and comfort with basic algorithms and data structures

- Experience with query interfaces such as SQL, Mapreduce, HBase and Apache Hadoop - desirable

- Experience with open source tools (Hadoop, Pig, Hive, Mahout, Weka etc.) would be a plus

- Experience with SQL and also data visualization techniques would be desirable



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