Manager - Research

National Skill Development Corporation; Delhi; Presencial; INR 1 200 000 - 2 400 000; Tempo integral

Resumo da oferta

The National Skill Development Corporation (NSDC) invites applications for a research professional to conceptualise and design studies on India's skill ecosystem. You will lead data collection, governance, and analysis across quantitative and qualitative methods, with responsibilities spanning fieldwork, data management, and policy translation.

The role requires a strong background in economics, statistics or data science, hands-on experience with R, Python, Stata, and visualization tools like

Qualificações

• Masters or above in Economics,Statistics, Data Science
• Engineers with Data Science, Machine Learning, Data Analytics
• Any Other candidates from Social Science background can be considered on merit

Responsabilidades

• Conceptualise research questions, hypotheses, framework development
• Design methodological approaches: quantitative/qualitative/mixed
• Coordinate data collection, sampling, ethics and governance
• Perform data management: cleaning, coding, metadata
• Conduct quantitative and qualitative analysis using R/Python/Stata, PowerBI, Excel
• Draft reports, policy briefs and disseminate findings to stakeholders

Conhecimentos

Microdata analysis

PowerBI

Excel

PowerPoint

Python

R

Stata

Formação académica

Master's in Economics/Statistics/Data Science

Engineering with Data Science

Social Science background considered

Ferramentas

NVivo

Descrição da oferta de emprego

At the National Skill Development Corporation (NSDC), we are dedicated to empowering India's youth through comprehensive skill development. Established on July 31, 2008, as a not-for-profit public limited company under section 25 of the Companies Act, 1956 (now corresponding to section 8 of the Companies Act, 2013), we operate as a unique Public Private Partnership (PPP) model under the Ministry of Skill Development & Entrepreneurship (MSDE). Our collaborative structure, with 49% of the share capital held by the government and 51% by the private sector, enables us to be the principal architects of India's skill ecosystem.

We actively support enterprises, start-ups, and organizations by providing funding support, concessional loans, and other innovative financial products. Our mission is to enhance, support, and coordinate private sector initiatives in vocational training, ensuring that financial barriers do not hinder skill development. As the strategic implementation and knowledge partner of the Skill India Mission, we focus on creating efficient training initiatives that open up a world of opportunities in futuristic skills for the potential workforce.

Through strategic partnerships and innovative models, we aim to build a robust skill ecosystem that not only meets current industry demands but also anticipates future trends, empowering India's youth to contribute significantly to the nation’s growth and development.

Job Description

A — Research Conceptualisation & Design

• Problem formulation: framing researchquestions; constructing testable hypotheses/propositions; literaturesynthesis and gap identification; developing conceptual/theoreticalframeworks
  
• Understanding of skill ecosystem: Prior workor academic experience of skill ecosystem
  
• Methodological design: selecting researchparadigm (quantitative / qualitative / mixed); choosing design (survey,experiment, case study, ethnography, longitudinal); operationalisingconstructs into measurable variables
  
• Sampling design: probability vs.non-probability strategies; sample-size and power estimation; weightingand representativeness; frame construction
  
• Research governance: ethics and informedconsent; securing IRB/ethical clearance and administrative approvals;data-protection and privacy compliance
  

B — Data Collection & Fieldwork

• Primary collection: survey administration (CAPI/CATI/paper); interviewing (rapport, probing, active listening); structured observation and field recording
  
• Field operations: enumerator recruitment, training and supervision; fieldwork logistics and scheduling; real-time monitoring
  
• Secondary data acquisition: sourcing administrative and government datasets; extraction, compilation and linkage; assessing provenance and fitness-for-use
  
• Data quality assurance: back-checks and spot validation; consistency and range checks; audit trails
  

C — Data Management & Analysis

• Data preparation: cleaning, de-duplication and outlier handling; missing-data treatment; coding, structuring and codebook/metadata documentation
  
• Quantitative analysis: descriptive statistics; inferential testing and regression; advanced methods (multivariate, psychometrics/IRT, equating, causal inference); tool fluency (R, Python, SPSS, Stata)
  
• Qualitative analysis: thematic and content analysis; grounded-theory coding; QDA software (NVivo, etc.)
  
• Interpretation & synthesis: pattern and trend identification; triangulation across sources; data visualisation for insight
  
• Technical & academic writing: report structuring; publication and manuscript writing; citation and referencing discipline
  
• Dissemination: presentation and public speaking; data storytelling; conference/workshop facilitation
  
• Stakeholder engagement & policy translation: policy-brief writing; audience-tailored messaging; advisory and consultative engagement with policymakers, practitioners and the public
  
• Research ethics and integrity; project and time management; digital and data literacy; critical thinking and problem-solving; collaboration and teamwork; multilingual/field-language competence; adaptability under field conditions.
  

Requirements

1 Academic Background:

• Masters or above in Economics,Statistics, Data Science
• Engineers with Data Science, MachineLearning, Data Analytics
• Any Other candidates from SocialScience background can be considered on a case-to-case basis depending on themerit

1 Experience:

• 1. 3-8 years of working experience inthe relevant field depending on the requirement of the level.
• 2. Proficient in Microdata analysisusing any software package like R, Python, Stata
• 3. Prior experience of working in skillecosystem
• 4. Deployed ML techniques in analysis
• 5. Proficient in PowerBI, Excel &Powerpoint