Remote Data Mining And Management Job In Data Science And Analytics

Comparing R to Dcipher Analytics, developing business cases

Find more Data Mining And Management remote jobs posted recently Worldwide

We are about to launch a new visually oriented analytics solutions, currently for text but we are adding image capabilities too. For marketing purposes we need to really pin down the advantages of our platform over other solutions like R, SAS Analytics and others. This needs to be done a very granular level and we need to work with true experts on each solutions to be sure that we get honest comparisons. For this purpose we would like to engage you to test pur platform vs R, assuming you are at expert level using R and NLP.

- Set up 10 common task using NLP on multidimensional datasets
- Execute the 20 tasks in R and also using Dcipher Analytics
- Measure time used for each task
-Analyze the differences
-If you can find an advantage for Dcipher Analytics please record and explain

In addition I would like your input on likely use cases for Dcipher Analytics, considering your experience.
About the recuiter
Member since Sep 13, 2017
Dahane Wong
from Paris, France

Skills & Expertise Required

Data Science Machine Learning Statistics 

Candidate shortlisted and hiredHiring open till - Mar 10, 2020

Work from Anywhere

40 hrs / week

Hourly Type

Remote Job

$24.93

Cost

Looking for help? Checkout our video tutorial
How to search and apply for jobs

How to apply? Do you have more questions about the Job?
See frequently asked questions

Similar Projects

Cancer survival analysis

Cancer survival analysis using semisupervised
learning method based on Cox
and AFT models with L1/2 regularization

Data Scientist / Engineer for Housing Data

Looking for help to build out a scalable machine learning solution in the housing space.

Ideal fit will be someone who can
- Help build out scalable big data models (making 10 million predictions daily)
- Help with model accuracy

I’m looking for a data scientist for clothing app

The deliverables are clear, using the data provided by the users and the data provided by the local stores, the data scientist must do the appropriate statistics to get valuable insights.