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Data Scientist - R/python

12 - 17 yrs
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Not Disclosed by Recruiter Posted 7 days ago Job Applicants: 32 Job Views: 178

Job Description

 
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    Key Responsibilities :

    - Managed Data Operations Team And Collaborated With Data Warehouse Developers To Meet Business User Needs, Promote Data Security, And Maintain Data Integrity.


    - Consulted With And Trained Analysts To Effectively Access Data And Optimize Dashboards.


    - Selecting Features, Building And Optimizing Classifiers Using Machine Learning Techniques


    - Data Mining Using State-Of-The-Art Methods


    - Enhancing Data Collection Procedures To Include Information That Is Relevant For Building Analytic Systems


    - Processing, Cleansing, And Verifying The Integrity Of Data Used For Analysis


    - Doing Ad-Hoc Analysis And Presenting Results In A Clear Manner


    - Creating Automated Anomaly Detection Systems And Constant Tracking Of Its Performance


    - Experience With Data Visualisation Tools, Such As Zoomdata, Angular, Grafana, D3.Js, Ggplot, Etc.


    - Using Apache Nifi To Support Powerful And Scalable Directed Graphs Of Data Routing, Transformation, And System Mediation Logic


    - Sas, Spark Mlib And/Or R, - In-Depth Knowledge Of At Least One Of These Analytical Tools, For Data Science Mlib / R Is Generally Preferred.


    - Python Coding - Python Is The Most Common Coding Language, Typically See Required In Data Science Roles, Along With Java, Perl, Or C/C++.


    - Proficiency In Kafka, Elk Stack (Zookeeper, File Beats, Log Stash)


    - Proficiency In Using Query Languages Such As Sql, Hive, Pig.


    - Developed Etls For Data Sources Used In Production Reporting For Operations Teams.


    - Promoted Enterprise-Wide Business Intelligence By Enabling Report Access In Sas Bi Portal And On Tableau Server.


    - Good Applied Statistics Skills, Such As Distributions, Statistical Testing, Regression, Etc.


    - Hadoop Platform - Although This Isn- T Always A Requirement, It Is Heavily Preferred In Many Cases. Having Experience With Hive Is Also A Strong Point.

    - Sql Database/Coding - Even Though Nosql And Hadoop Have Become A Large Component Of Data Science, It Is Still Expected That A Candidate Will Be Able To Write And Execute Complex Queries In Sql.

    - Unstructured Data - It Is Critical That A Data Scientist Be Able To Work With Unstructured Data, Whether It Is From Social Media, Video Feeds, Financial Transactions Etc.

    - Great Communication Skills

    - Good Scripting And Programming Skills .

Salary: Not Disclosed by Recruiter

Industry: IT-Software / Software Services

Functional Area: IT Software - DBA , Datawarehousing

Role Category:Programming & Design

Role:Database Architect/Designer

Employment Type: Permanent Job, Full Time

Keyskills

Hadoop C Hive Java SQL Database Python Data Science Spark SAS BI R Data Operations Data Mining Data Visualisation Sas Spark Mlib In Kafka Elk Stack

Desired Candidate Profile

    Edu : Be/Btech/ MCA

    Exp : 12-17 Years (Relevant- 6+ Years)

    - Technological Skill Sets :

    1. Log Analytics & Data Mining :- Kafka, Elk Stack (Zookeeper, File Beats, Log Stash), Apache Nifi, Spark, Ambari

    2. User Interface (Dashboard) :- Zoomdata, Angular, Kibana, Grafana

    3. Machine Learning :- R, Spark Mlib

    4. Backend Skills :- Hbase, Hive, Ambari, Mapreduce, Redis, Goldengate, Hadoop, Cassandra

    5. Security Skills :- Apache Atlas, Apache Ranger, Apache Knox.

Education-

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

PG:MCA - Computers

Doctorate:Doctorate Not Required

Company Profile:

Resource Weaver HR Consulting Pvt Ltd

Client of Resource Weaver HR Consulting Pvt Ltd
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