Careers

Brief Description about the Project 

a) To improve the anthropometric nutritional status of children 0.6-3y in a district of Himachal Pradesh through testing of an appropriate THR that meets all guidelines and nutrient requirements. 

b) large scale implementation in 2 districts.

c) Capacity building for appropriate technologies within the ICDS system.

Salary: 50,000/- per month

• Develop, validate, and deploy statistical and machine learning models.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and actionable insights. 
• Clean, preprocess, and transform structured and unstructured datasets for analysis and modelling.
• Apply statistical techniques such as regression, hypothesis testing, and time-series and longitudinal data analysis.
• Build and optimize predictive and classification models using machine learning algorithms.
• Participate in code reviews and contribute to maintaining high code quality and best practices.
• Maintain clear documentation for data workflows, models, experiments, and performance metrics.

Education : MSc Statistics

No.of Vacancy: One

Language: English

To Apply: E-mail cover letter and curriculum vitae with 3 references (names and email addresses / phone numbers) by on or before 7th June 2026 to shameem.b@sjri.res.in  & cc to hr@sjri.res.in