Pandas & Python Expert to Help Execute Causal Inference Process on Survey Data

Project Description

About us:

We are startup in San Francisco that collects and analyzes survey data to measure how well online brand advertising works.

Problem:

We've developed a custom Python-based pipeline to perform valid causal inference, but it's not yet fully automated. For now, each ad campaign we analyze requires the creation of a custom "configuration" script in Python that cleans and conforms the data to the format that our statistical pipeline requires. We've got a rush of campaigns we need to analyze over the next few months and so we need someone proficient in Python and pandas to help us set up and execute our analysis (and ideally to help us figure out additional ways to automate the process).

The process is relativley well-defined at this point, but there's a lot that can go wrong (e.g. missing or broken data, violates of statistical expectations) so the process needs a fair amount of hand-holding by someone who has the quantiative savvy to critically evaluate the data and results as they're going through our pipeline.

Expertise Needed :

Prior expereince with causal inference is not necessary, but you do need to be strong in Python and specifically pandas.

We don't really care where you're physically located but we need someone who will overlap with us during business hours (10:30am - 6:30pm PST)

In your proposal: Please tell us how comfortable are you with Python and specifically pandas, also share details on your background/past experience.