Data Scrapping

last updated August 16, 2021 16:05 UTC

Amicus.co

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Work on a Patent Pending Algorithm +Permission to use work for PhD/Master’s Thesis

We are looking for a part-time research associate with ninja-like data science, mathematical and algorithmic skills. We are building the next PageRank-like algorithm to calculate legal risk in Online Contracts. This is a rare opportunity to be part of a patent pending algorithm development, and become part of owning a patent.

Duration: 3-6 months

Qualification: Interest in Data Science, Machine Learning, Mathematical Modelling, and Risk-Analysis. Coding skills in R, Python, Scala or Octave

Benefits: The research associate can use the research done by him as a part of his Master’s or PhD thesis.

Description of Work:

This particular associate will be responsible for creating the backend database for the AmicRank algorithm, as well as the training set for the same. This would include a combination of API integrations (of public as well as private feeds), use of tools such as Scrappy as well as custom code, in the associate’s preferred language. This will also involve cleaning of data to avoid duplicates with different names for similar product.

Amicus Challenge (Please pick one)

| 1. Find a way to create a database of the terms of conditions offered by each seller as shown as in the tool tip, for Nexus 5/iPhone 5/Moto X phones on Flipkart.

| 2. Create a database of product name, picture, product description, product review, and warranty for all Samsung Phones on Flipkart, Snapdeal, eBay and Amazon. [The specific challenge is to avoid repetition of similar sounding names by different sellers]

| All entries which solve the challenge will receive a special invite to be a part of the BetaTesting Amicus Team [Paid position], irrespective of whether they get the position.

Salary and compensation

$60,000 — $90,000/year

Equity

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