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Data Scientist - Financial Firm

5 - 10 yrs
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Not Disclosed by Recruiter Posted 7 days ago Job Applicants: 334 Job Views: 336

Job Description

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    - Extensively working on Algorithms like liner regression, logistics regression, K-means clustering, classification random forest etc

    - Building end to end models using machine learning technologies - supervised and unsupervised algorithms

    - Expert in writing SQL queries

    - working on open source R language and python libraries

    - Provide data visualization solutions

    - Lead in the field of big data infrastructure

    - Performing machine learning algorithms and applying various statistical techniques

    - Working as an individual contributor

    - Building Machine learning models


    - 5+ years of experience into data science

    - Bachelor's degree in stats, math's or any numerical disciple

    - Proficient in statistical techniques

    - Expertise in using programming languages

    - Time series, logistic regression, predictive analysis, liner regression, clustering, etc.

    - Good with Arima algorithms and NLP

    - Data visualization

    - Well versed with R, Python, SAS, Scala

    - People management experience is a must

    - Advance analytics experience is a must

    - Expertise in machine learning algorithms"

Salary: Not Disclosed by Recruiter

Industry: Banking / Financial Services / Broking

Functional Area: Analytics & Business Intelligence

Role Category:Analytics & BI

Role:Data Analyst

Employment Type: Permanent Job, Full Time


Desired Candidate Profile

    Please refer to the Job description above


UG: B.Tech/B.E. - Any Specialization

PG:Any Postgraduate - Any Specialization

Doctorate:Doctorate Not Required

Company Profile:

Crescendo Global

Hiring for its Leading Client.
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