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Data Scientist

2.00 to 7.00 Years   Delhi   21 Dec, 2021
Job LocationDelhi
EducationNot Mentioned
SalaryNot Disclosed
IndustryNGO / Social Work
Functional AreaGeneral / Other Software,Statistics / Analytics
EmploymentTypeFull-time

Job Description

RESPONSIBILITIESCollecting, cleaning and maintaining data from Open Datasets. Data from all major government schemes and departments must be maintained in a structured data warehouse and updated regularly. Analysis of cleaned data to identify patterns, correlations and infer meaningful conclusions. Thereafter, presenting them in a visually lucid manner to various stakeholders and policymakers through Swanitis Jigyasa portal.Creating data packages for standardized and customized research output for use of Members of Parliament, Members of Legislative Assembly and Civil Servants. Conceptualize and create standalone data visualizations and info-graphics on development and governance issues for dissemination to media outlets and general public Analyzing and interpreting primary level data for Swanitis micro planning projects to identify key patterns for national and state level policy making. If needed provide inputs for knowledge consultations and/ or the Jigyasa platform.QUALIFICATIONS Graduate degree in any field with courses in Statistics, Econometrics or any data-related subjects. Those with advanced degrees will be given preference. At least 2 years of active work experience in the public or private sector with a role dealing directly with data cleaning, analysis and visualizations.SKILLS Required Familiarity with handling database systems like MySQL and Hive. Proficiency in Python and Java. Familiarity with packages/ libraries used for data manipulation and plotting (eg numpy, panda, scikit-learn) Understanding of statistical concepts involving descriptive and inferential stats, hypothesis testing, confidence intervals and sampling, clustering and classification. Knowledge of common machine learning algorithms, from dimensionality reduction to supervised and unsupervised techniques. Excellent working knowledge of MS Excel Strong leadership skills, excellent people and team skills and a constant willingness to learn. Recommended Proficiency in R, SPSS and/ or STATA. Familiarity with MongoDB, Hadoop, Spark. Understanding of linear algebra concepts such as matrix manipulations, Eigen values and vectors and multivariable calculus. Knowledge regarding government policies, schemes and their implementation. Ability to write complex Macros in Excel.,

Keyskills :
pythonsqlanalyticsdata analysisdata manipulationhypothesis testingdata cleaningteam skillsdatabase systemslinear algebramachine learningleadership skills

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