Data Scientist Intern

• Build population models from Indian public data — census, NFHS, HCES, PLFS — and state where each number comes from
• Replace analyst priors with evidence, one dimension at a time
• Design evaluation: ranking accuracy, calibration, baselines, and where the model fails
• Work with creators' real outcomes to measure prediction error honestly

What you'll do

• Build population models from Indian public data — census, NFHS, HCES, PLFS — and state where each number comes from
• Replace analyst priors with evidence, one dimension at a time
• Design evaluation: ranking accuracy, calibration, baselines, and where the model fails
• Work with creators' real outcomes to measure prediction error honestly

You might be a fit if

• You can explain a confidence interval to someone who has never heard of one
• You have opinions about survey data, and about when not to trust it
• You are comfortable with Python or R, SQL and messy public datasets

What you'll learn

• Population synthesis and post-stratification
• Evaluation design for predictive systems
• India's data landscape, in depth