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Analyst- Data Science and Machine Learning (2-4yrs.) in Mumbai at Crescendo Global

Date Posted: 7/8/2018

Job Snapshot

Job Description


An exciting technical job opportunity with Fortune 100 Financial Services firm for an analyst who directly reports to Deputy Manager/ Manager-Analytics. Our client is looking for talented individuals with a passion for working with data and for constantly learning new tools and techniques to help make better data driven decisions. You would be responsible for projects involving Machine Learning, Predictive Modelling and coding. Candidate should have sound mathematical intuition, coding expertise and experience working with real data problems.

LOCATION: Mumbai

YOUR FUTURE EMPLOYER:

A leading group with billions of assets under management providing comprehensive financial services serving millions of customers.

YOU WILL BE RESPONSIBLE FOR:

 Applying statistical/ machine learning models such as singular value decomposition, esemble models such as random forests, bagging and boosting, support vector machines to solve business problems.

 Implementing supporting architecture using scalable architectures to deploy prototypes of machine learning models in robust platforms such as R and Python

 Actively research and build prototypes using new tools and techniques introduced in the market such as new kernels for SVM,ALS for recommendation.

 Communicating results with non-technical business stakeholders and experience with visualizing data using any one tool or with R/Python.

Job Requirements

THE SUCCESSFUL CANDIDATE:

●  Strong background in at least one specific statistical modelling or predictive modelling area.

●  Strong background in at least one specific machine learning area

●  Experience on any of the cloud technologies such as AWS or Azure

●  Experience in working with packages such as generalised linear models like Lasso,Ridge,Logit; Recommendation engines like SVD, ALS etc. And optimization and visualisation techniques such as T-sne, ggplot etc.

●  Exposure to massive data storage architectures like Map-Reduce, Columnar Databases, NOSQL, RDD-Spark.




REACH US:- If you think this role will add value to your career, kindly write me an email along with your updated CV on twishaverma@crescendogroup.infor a confidential discussion on the role.

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