5 Statistical Modeling jobs in New Delhi

Freelance Opportunity: Statistician – Demographic & Synthetic Population Modeling (Remote | ₹50,000/month)

Duration: 2-Month Contract (Renewable)

Compensation: ₹0,000/month (net, based on deliverables)

We are seeking a highly qualified freelance statistician to explore and analyze publicly available demographic datasets—including respondent-level microdata where available—and translate them into actionable statistical insights. The ultimate goal is to develop frameworks and schemas for generating synthetic populations of various Indian states.

This project is ideal for a candidate passionate about data exploration, sampling theory, and synthetic data generation for policy, market, or simulation purposes.

• Data Exploration & Cleaning
• Locate, access, and curate publicly available demographic datasets (census, NFHS, WVS, ASER, NSSO, etc.).
• Conduct thorough quality checks and handle missing or inconsistent data.
• Statistical Analysis & Modeling
• Perform distribution analysis, parameter estimation, and relationship mapping between demographic variables.
• Apply sampling techniques to design representative synthetic populations.
• Identify key demographic and behavioral parameters that inform population modeling.
• Schema & Synthetic Population Development
• Build statistical frameworks and schemas to simulate respondent-level data for Indian states.
• Develop replicable workflows and documentation for ongoing data updates.
• Reporting & Communication
• Present findings in clear, visualized formats (tables, charts, dashboards).
• Recommend refinements to improve the representativeness and robustness of the synthetic population models.

• Education: Master’s degree or higher in Statistics, Econometrics, Data Science, or Quantitative Social Sciences from a premier institute (ISI, IITs, IISc, Delhi School of Economics, etc.).
• Core Expertise:
• Advanced understanding of sampling theory and experimental design.
• Strong proficiency in statistical programming (R, Python, or Stata).
• Knowledge of Bayesian inference and synthetic data generation techniques is a plus.
• Experience:
• Prior work with large demographic or respondent-level datasets.
• Track record of producing actionable statistical insights.

• Distribution and parameter analysis
• Survey sampling & weighting
• Regression and multivariate modeling
• Data wrangling and cleaning
• Reproducible workflow creation (scripts, notebooks)
• Clear presentation of statistical findings

• Fixed monthly fee of ₹50,00 NR .
• Flexible, output-oriented schedule.
• Initial engagement for 3 months with potential for extension based on performance.

• Assist in data collection, cleaning, and pre-processing from various sources.
• Perform exploratory data analysis and create data visualizations to identify trends and patterns.
• Support the development of dashboards and reports using data visualization tools.
• Help in statistical analysis and interpretation of data sets.
• Collaborate with senior analysts to understand project requirements and deliverables.
• Learn and apply programming languages such as Python or R for data manipulation and analysis.
• Contribute to data quality checks and ensure data integrity.
• Assist in the documentation of data analysis processes and methodologies.
• Participate in team meetings and contribute ideas for improving data processes.
• Undergo continuous learning and training in data analysis techniques and tools.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Familiarity with basic statistical concepts.
• Exposure to data analysis tools or programming languages (e.g., Excel, SQL, Python, R) is a plus.
• Excellent attention to detail and commitment to data accuracy.
• Good communication and interpersonal skills.
• Ability to work independently and manage tasks effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• Demonstrated interest in data analysis or a related field.

• Lead the application of remote sensing techniques (e.g., InSAR, LiDAR, photogrammetry) for geotechnical investigations.
• Analyze satellite and aerial imagery to assess land surface deformation, slope stability, and geological features.
• Develop and validate advanced geotechnical models using integrated geospatial data.
• Conduct site characterization and risk assessments for infrastructure and mining projects.
• Interpret complex datasets from various sources, including ground-based sensors and geophysical surveys.
• Prepare detailed technical reports, presenting findings and recommendations to clients and project teams.
• Collaborate effectively with remote engineering and geological teams across different time zones.
• Stay abreast of the latest advancements in remote sensing technology and geotechnical engineering practices.
• Mentor junior engineers and contribute to the development of best practices within the team.

• Master's or Ph.D. in Geotechnical Engineering, Civil Engineering, Geology, or a related field with a specialization in remote sensing or geospatial analysis.
• Minimum of 6 years of relevant experience in geotechnical engineering, with a significant focus on applying remote sensing technologies.
• Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing software (e.g., ENVI, ERDAS Imagine).
• Strong understanding of geotechnical principles and their application to real-world engineering problems.
• Experience with geotechnical analysis software (e.g., PLAXIS, GeoStudio) is highly desirable.
• Excellent data analysis, interpretation, and visualization skills.
• Proficiency in programming languages such as Python (with libraries like GDAL, Rasterio) for data processing is a strong asset.
• Exceptional written and verbal communication skills for remote collaboration.
• Proven ability to manage projects and deliver high-quality technical documentation.