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CNH Industrial | Hiring | Data Scientist – Reliability | BigDataKB.com | 2022-09-16

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16/09/2022

Job Location: Gurgaon/Gurugram

Work with warranty, telematics, and test data to develop insights on CNH Ind products
Mission data characterization from Telematics data for multiple systems and components by analyzing complex Time Series data.
Able to use Deep Learning models to derive insights from data beneath the visualization level

Develop statistical and machine learning models to predict and forecast field failures over the life of the vehicle using Python and R using real time data.
Develop NLP based models to establish correlation of text data from different sources to improve business Processes.

Background Information and Main Activities : –

Develop ML models and applications to analyze real time data from field vehicles to establish parameter relationships through experimentation, and to enhance use case understanding.

Work Relationship : –

Internal

Advanced Reliability team (global), Quality, Product Validation, ITC Hyd. Quality Adv. Reliability team.

External

Consultants / SOWs

Qualification, Age and Experience : –

Education-

MS/ M.Sc/ M.Stat (ISI) / M.Tech in Data Science, Statistics, Information Technology, or Engineering

Professional Qualification-

SAS Certification is desirable, Certifications in Data Science

Experience

5- 10 years

Age

30-35

8) Other Information

5- 10 years of experience in successfully analyzing complex and large data sets
Knowledge of statistical methods, Machine Learning, Neural Networks, and Artificial

Intelligence, and experience in analyzing Big Data are essential requirements for this position.

Expert level proficiency in Python and R programming with good knowledge of SAS.
Good at integrating data from various sources with dissimilar formats to generate comprehensive insights.
Experience in working with Survival modeling, Multivariate Statistics, Time Series, discrete event analysis, and text mining.
Experience in using Weibull distribution, NHPP,GLM, and Bayesian models, Cluster analysis, And Principal Component analysis will be a plus.
Knowledge and experience working with data using Apache Spark, MS Azure, and SQL is required.
Able to work with existing models and programs and continuously improve them.
Willingness to learn new methodologies and tools to continuously improve the knowledge required to analyze complex data sets with hundreds of variables.

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